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Redmill, K.A.,
Systems for Safety and Autonomous Behavior in Cars:
The DARPA Grand Challenge Experience,
PIEEE(95), No. 2, February 2007, pp. 397-412.
IEEE DOI
0702
BibRef
Amditis, A.,
Bertolazzi, E.,
Bimpas, M.,
Biral, F.,
Bosetti, P.,
da Lio, M.,
Danielsson, L.,
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Saroldi, A.,
Sjogren, A.,
A Holistic Approach to the Integration of Safety Applications:
The INSAFES Subproject Within the European Framework Programme 6
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IEEE DOI
1003
BibRef
Amditis, A.,
da Lio, M.,
Goudy, R.,
Guest Editorial Special Section on ITS and Road Safety,
ITS(11), No. 3, September 2010, pp. 524-524.
IEEE DOI
1003
Special section introduction.
BibRef
Hanna, M.J.,
Kimmel, S.C.,
Current US Federal Policy Framework for Self-Driving Vehicles:
Opportunities and Challenges,
Computer(50), No. 12, December 2017, pp. 32-40.
IEEE DOI
1801
Artificial intelligence, Autonomous automobiles,
Computer security, Data privacy, Research and development, Safety,
self-driving cars
BibRef
Bila, C.,
Sivrikaya, F.,
Khan, M.A.,
Albayrak, S.,
Vehicles of the Future: A Survey of Research on Safety Issues,
ITS(18), No. 5, May 2017, pp. 1046-1065.
IEEE DOI
1705
Survey, Driver Assistance. Collision avoidance, Roads, Safety, Stereo vision, Taxonomy, Vehicles,
Advanced driver assistance systems, collision avoidance,
connected vehicles, intelligent vehicles, vehicle detection,
vehicle, safety
BibRef
Calo, R.[Ryan],
Is the Law Ready for Driverless Cars?,
CACM(61), No. 5, May 2018, pp. 34-36.
DOI Link
1805
Short answer: yes.
BibRef
Jiang, Y.,
Liu, H.,
Song, H.,
Kong, H.,
Wang, R.,
Guan, Y.,
Sha, L.,
Safety-Assured Model-Driven Design of the Multifunction Vehicle Bus
Controller,
ITS(19), No. 10, October 2018, pp. 3320-3333.
IEEE DOI
1810
Safety, Standards, Unified modeling language, Automata, Tools,
Protocols, Data models, Multifunction vehicle bus,
IEC-61375
BibRef
Ross, P.E.,
The curious incident of the robocar in the night-time,
Spectrum(55), No. 1, January 2018, pp. 44-45.
IEEE DOI
1801
automobiles, mobile robots, actual self-driving cars, level 0,
level 1, level 2, level 3, level 4 autonomy, level 5, night-time,
Safety
BibRef
Coelingh, E.,
Nilsson, J.,
Buffum, J.,
Driving tests for self-driving cars,
Spectrum(55), No. 3, March 2018, pp. 40-45.
IEEE DOI
1804
automobiles, mobile robots, road safety, testing, Autoliv, Gothenburg,
Sweden, Swedish auto-safety company, Volvo, Zenuity,
Sensors
BibRef
Bonnefon, J.,
Shariff, A.,
Rahwan, I.,
The trolley, the bull bar, and why engineers should care about the
ethics of autonomous cars,
PIEEE(107), No. 3, March 2019, pp. 502-504.
IEEE DOI
1903
[point of view].
Autonomous automobiles, Autonomous vehicles, Ethics, Accidents,
Road traffic, Vehicle safety, Market opportunities,
Design methodology
BibRef
Gerstmair, M.,
Melzer, A.,
Onic, A.,
Huemer, M.,
On the Safe Road Toward Autonomous Driving: Phase noise monitoring in
radar sensors for functional safety compliance,
SPMag(36), No. 5, September 2019, pp. 60-70.
IEEE DOI
1909
Radar, Radar antennas, Antenna arrays, Sensors, Estimation,
Radiation safety, Radiation monitoring
BibRef
Yoo, J.,
Langari, R.,
A Predictive Perception Model and Control Strategy for Collision-Free
Autonomous Driving,
ITS(20), No. 11, November 2019, pp. 4078-4091.
IEEE DOI
1911
Autonomous vehicles, Merging, Safety, Trajectory, Predictive models,
Vehicle dynamics, Autonomous vehicles, naturalistic driving,
model predictive control
BibRef
Adamson, G.,
Havens, J.C.,
Chatila, R.,
Designing a Value-Driven Future for Ethical Autonomous and
Intelligent Systems,
PIEEE(107), No. 3, March 2019, pp. 518-525.
IEEE DOI
1903
Ethics, Intelligent systems, Organizations, Robots,
Autonomous veicles, Accidents, Social implications of technology,
technology and society
BibRef
Nascimento, A.M.,
Vismari, L.F.,
Molina, C.B.S.T.,
Cugnasca, P.S.,
Camargo, J.B.,
de Almeida, J.R.,
Inam, R.,
Fersman, E.,
Marquezini, M.V.,
Hata, A.Y.,
A Systematic Literature Review About the Impact of Artificial
Intelligence on Autonomous Vehicle Safety,
ITS(21), No. 12, December 2020, pp. 4928-4946.
IEEE DOI
2012
Safety, Autonomous vehicles, Databases, Systematics, Bibliographies,
Autonomous vehicles, safety, artificial intelligence, machine intelligence
BibRef
Plebe, A.,
Lio, M.D.[M. Da],
Bortoluzzi, D.,
On Reliable Neural Network Sensorimotor Control in Autonomous
Vehicles,
ITS(21), No. 2, February 2020, pp. 711-722.
IEEE DOI
2002
Neural networks, Autonomous vehicles, Reliability,
Safety, Automobiles, ISO Standards,
subsumption architecture
BibRef
Berk, M.,
Schubert, O.,
Kroll, H.M.,
Buschardt, B.,
Straub, D.,
Exploiting Redundancy for Reliability Analysis of Sensor Perception
in Automated Driving Vehicles,
ITS(21), No. 12, December 2020, pp. 5073-5085.
IEEE DOI
2012
Redundancy, Safety, Data models, Estimation, Reliability theory,
Predictive models, Sensor systems, reliability engineering,
sensor system reliability
BibRef
Bakdi, A.[Azzeddine],
Glad, I.K.[Ingrid Kristine],
Vanem, E.[Erik],
Testbed Scenario Design Exploiting Traffic Big Data for Autonomous
Ship Trials Under Multiple Conflicts With Collision/Grounding Risks
and Spatio-Temporal Dependencies,
ITS(22), No. 12, December 2021, pp. 7914-7930.
IEEE DOI
2112
Marine vehicles, Navigation, Safety, Complexity theory, Testing,
Seaports, Radar tracking, AIS, collision risk prediction, COLREGs,
vessel safety domain
BibRef
Basantis, A.[Alexis],
Miller, M.[Marty],
Doerzaph, Z.[Zachary],
Neurauter, M.L.[M. Lucas],
Assessing Alternative Approaches for Conveying Automated Vehicle
'Intentions',
HMS(51), No. 6, December 2021, pp. 622-631.
IEEE DOI
2112
Safety, Human factors, Autonomous vehicles,
Human computer interaction, Human-vehicle systems, trust
BibRef
Wu, H.H.[Hui-Hui],
Lyu, D.[Deyun],
Zhang, Y.[Yanan],
Hou, G.[Gang],
Watanabe, M.[Masahiko],
Wang, J.[Jie],
Kong, W.Q.[Wei-Qiang],
A verification framework for behavioral safety of self-driving cars,
IET-ITS(16), No. 5, 2022, pp. 630-647.
DOI Link
2204
BibRef
Cao, Z.,
Yang, D.,
Xu, S.,
Peng, H.,
Li, B.,
Feng, S.,
Zhao, D.,
Highway Exiting Planner for Automated Vehicles Using Reinforcement
Learning,
ITS(22), No. 2, February 2021, pp. 990-1000.
IEEE DOI
2102
Road transportation, Safety, Reinforcement learning,
Vehicle dynamics, Vehicles, Dynamics, Trajectory, Autonomous vehicle,
reinforcement learning
BibRef
Muhammad, K.[Khan],
Ullah, A.[Amin],
Lloret, J.[Jaime],
del Ser, J.[Javier],
de Albuquerque, V.H.C.[Victor Hugo C.],
Deep Learning for Safe Autonomous Driving:
Current Challenges and Future Directions,
ITS(22), No. 7, July 2021, pp. 4316-4336.
IEEE DOI
2107
Roads, Task analysis, Safety, Automobiles, Accidents, Vehicles,
Lane detection, Autonomous driving (AD), artificial intelligence,
intelligent sensors
BibRef
Ryan, C.,
Murphy, F.,
Mullins, M.,
End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly
Detection Approach,
ITS(22), No. 3, March 2021, pp. 1650-1662.
IEEE DOI
2103
Anomaly detection, Accidents, Safety, Autonomous vehicles,
Regulators, Roads, Autonomous vehicle, accident risk,
Gaussian process
BibRef
Xie, G.Q.[Guo-Qi],
Wu, W.[Wei],
Zeng, G.[Gang],
Li, R.[Renfa],
Hu, S.Y.[Shi-Yan],
Risk Assessment and Development Cost Optimization in Software Defined
Vehicles,
ITS(22), No. 6, June 2021, pp. 3675-3686.
IEEE DOI
2106
Safety, Reliability, Software, Task analysis, Optimization,
ISO Standards, Real-time systems, Software defined vehicles, cost,
reliability
BibRef
Karmakar, G.[Gour],
Chowdhury, A.[Abdullahi],
Das, R.[Rajkumar],
Kamruzzaman, J.[Joarder],
Islam, S.[Syed],
Assessing Trust Level of a Driverless Car Using Deep Learning,
ITS(22), No. 7, July 2021, pp. 4457-4466.
IEEE DOI
2107
Autonomous automobiles, Cameras, Automobiles, Security,
Global Positioning System, Safety, Laser radar, Driverless car,
intelligent transportation system
BibRef
Motwani, S.[Sachin],
Sharma, T.[Tarun],
Gupta, A.[Anubha],
Ethics in Autonomous Vehicle Software: The Dilemmas,
Computer(54), No. 8, August 2021, pp. 46-55.
IEEE DOI
2108
Industries, Ethics, Autonomous vehicles, Reliability engineering,
Software reliability, Automobiles
BibRef
Burton, S.[Simon],
McDermid, J.A.[John Alexander],
Garnett, P.[Philip],
Weaver, R.[Rob],
Safety, Complexity, and Automated Driving:
Holistic Perspectives on Safety Assurance,
Computer(54), No. 8, August 2021, pp. 22-32.
IEEE DOI
2108
Cognition, Vehicle safety, Complexity theory, Autonomous vehicles,
Quality assurance
BibRef
Hu, L.[Lin],
Zhou, X.Q.[Xi-Qin],
Zhang, X.[Xin],
Wang, F.[Fang],
Li, Q.Q.[Qi-Qi],
Wu, W.G.[Wen-Guang],
A review on key challenges in intelligent vehicles:
Safety and driver-oriented features,
IET-ITS(15), No. 9, 2021, pp. 1093-1105.
DOI Link
2108
BibRef
Liu, M.[Mushuang],
Wan, Y.[Yan],
Lewis, F.L.[Frank L.],
Atkins, E.[Ella],
Wu, D.P.O.[Da-Peng Oliver],
Statistical Properties and Airspace Capacity for Unmanned Aerial
Vehicle Networks Subject to Sense-and-Avoid Safety Protocols,
ITS(22), No. 9, September 2021, pp. 5890-5903.
IEEE DOI
2109
Atmospheric modeling, Protocols, Safety, Analytical models,
Capacity planning, Markov processes, Aircraft,
airspace capacity management
BibRef
Koopman, P.[Philip],
Kuipers, B.[Benjamin],
Widen, W.H.[William H.],
Wolf, M.[Marilyn],
Ethics, Safety, and Autonomous Vehicles,
Computer(54), No. 12, December 2021, pp. 28-37.
IEEE DOI
2112
Ethics, Safety, Autonomous vehicles
BibRef
Ahmed, M.L.[Mohammed Lawal],
Iqbal, R.[Rahat],
Karyotis, C.[Charalampos],
Palade, V.[Vasile],
Amin, S.A.[Saad Ali],
Predicting the Public Adoption of Connected and Autonomous Vehicles,
ITS(23), No. 2, February 2022, pp. 1680-1688.
IEEE DOI
2202
Autonomous vehicles, Vehicles, Machine learning, Safety,
Predictive models, Autonomous automobiles, Roads,
CAV adoption
BibRef
Wang, Y.[Yibo],
Xu, W.[Wei],
Zhang, W.P.[Wen-Ping],
Zhao, J.L.[J. Leon],
SafeDrive:
A New Model for Driving Risk Analysis Based on Crash Avoidance,
ITS(23), No. 3, March 2022, pp. 2116-2129.
IEEE DOI
2203
Vehicles, Accidents, Safety, Acceleration, Analytical models,
Logistics, Neural networks, Driving risk, safety space,
deep learning
BibRef
Fu, Y.C.[Yu-Chuan],
Li, C.L.[Chang-Le],
Yu, F.R.[Fei Richard],
Luan, T.H.[Tom H.],
Zhang, Y.[Yao],
A Survey of Driving Safety With Sensing, Vehicular Communications,
and Artificial Intelligence-Based Collision Avoidance,
ITS(23), No. 7, July 2022, pp. 6142-6163.
IEEE DOI
2207
Sensors, Collision avoidance, Autonomous vehicles,
Artificial intelligence, Reliability, Vehicles, Trajectory,
connected autonomous vehicle
BibRef
Yu, S.Y.[Shih-Yuan],
Malawade, A.V.[Arnav Vaibhav],
Muthirayan, D.[Deepan],
Khargonekar, P.P.[Pramod P.],
Faruque, M.A.A.[Mohammad Abdullah Al],
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous
Vehicle Decisions,
ITS(23), No. 7, July 2022, pp. 7941-7951.
IEEE DOI
2207
Risk management, Autonomous vehicles, Training, Pipelines,
Computational modeling, Automobiles, Testing, Autonomous vehicle,
graph convolutional neural network
BibRef
Chen, Y.[Yuhao],
Yang, C.[Chizhao],
Gu, Y.[Yu],
Hu, B.[Boyi],
Influence of Mobile Robots on Human Safety Perception and System
Productivity in Wholesale and Retail Trade Environments:
A Pilot Study,
HMS(52), No. 4, August 2022, pp. 624-635.
IEEE DOI
2208
Robots, Mobile robots, Safety, Task analysis, Trajectory, Productivity,
Payloads, Autonomous path planning,
physical and psychological safety
BibRef
Sinha, A.[Amolika],
Bassil, D.[Daniel],
Chand, S.[Sai],
Virdi, N.[Navreet],
Dixit, V.[Vinayak],
Impact of Connected Automated Buses in a Mixed Fleet Scenario With
Connected Automated Cars,
ITS(23), No. 8, August 2022, pp. 11982-11993.
IEEE DOI
2208
Safety, Automation, Costs, Delays, Calibration, Roads,
Public transportation, Automated connected vehicles,
automation in public transport
BibRef
Zhang, K.[Kunai],
Liu, Y.H.[Ya-Hui],
Zhang, W.Q.[Wei-Qiang],
Liu, S.S.[Shao-Shan],
p-Learner: A Lifelong Roadside Learning Framework for Infrastructure
Augmented Autonomous Driving,
Computer(55), No. 6, June 2022, pp. 30-39.
IEEE DOI
2206
Road traffic, Vehicle safety, Autonomous vehicles
BibRef
Wang, C.[Cheng],
Storms, K.[Kai],
Winner, H.[Hermann],
Online Safety Assessment of Automated Vehicles Using Silent Testing,
ITS(23), No. 8, August 2022, pp. 13069-13083.
IEEE DOI
2208
Safety, Testing, Vehicles, Sensors, Measurement, Automation, Accidents,
Automated vehicle, online verification, safety assessment, vehicle safety
BibRef
Mo, S.J.[Shuo-Jie],
Pei, X.F.[Xiao-Fei],
Wu, C.X.[Chao-Xian],
Safe Reinforcement Learning for Autonomous Vehicle Using Monte Carlo
Tree Search,
ITS(23), No. 7, July 2022, pp. 6766-6773.
IEEE DOI
2207
Reinforcement learning, Autonomous vehicles, Monte Carlo methods,
Long short term memory, Decision making, Search problems, Safety,
decision-making
BibRef
Gangopadhyay, B.[Briti],
Soora, H.[Harshit],
Dasgupta, P.[Pallab],
Hierarchical Program-Triggered Reinforcement Learning Agents for
Automated Driving,
ITS(23), No. 8, August 2022, pp. 10902-10911.
IEEE DOI
2208
Task analysis, Safety, Reinforcement learning, Deep learning,
Training, Planning, Autonomous vehicles, Autonomous vehicles,
formal verification
BibRef
Sun, J.[Jian],
Zhou, H.J.[Hua-Jun],
Xi, H.C.[Hao-Chen],
Zhang, H.[He],
Tian, Y.[Ye],
Adaptive Design of Experiments for Safety Evaluation of Automated
Vehicles,
ITS(23), No. 9, September 2022, pp. 14497-14508.
IEEE DOI
2209
Testing, Adaptation models, Safety, Predictive models, Roads,
Uncertainty, Sun, Autonomous vehicles, design of experiments,
vehicle crash testing
BibRef
Milardo, S.[Sebastiano],
Rathore, P.[Punit],
Amorim, M.[Marco],
Fugiglando, U.[Umberto],
Santi, P.[Paolo],
Ratti, C.[Carlo],
Understanding Drivers' Stress and Interactions With Vehicle Systems
Through Naturalistic Data Analysis,
ITS(23), No. 9, September 2022, pp. 14570-14581.
IEEE DOI
2209
Vehicles, Stress, Biomedical monitoring, Safety,
Biometrics (access control), Telemetry, Roads, Vehicle driving,
emotion recognition
BibRef
Sun, J.[Jian],
Zhang, H.[He],
Zhou, H.J.[Hua-Jun],
Yu, R.J.[Rong-Jie],
Tian, Y.[Ye],
Scenario-Based Test Automation for Highly Automated Vehicles:
A Review and Paving the Way for Systematic Safety Assurance,
ITS(23), No. 9, September 2022, pp. 14088-14103.
IEEE DOI
2209
Testing, Automation, Safety, Systematics, Roads, Accidents, Software,
Highly automated vehicles, test automation, safety assurance, traffic scenarios
BibRef
Li, X.R.[Xin-Ran],
Lin, K.Y.[Kuo-Yi],
Meng, M.[Min],
Li, X.X.[Xiu-Xian],
Li, L.[Li],
Hong, Y.G.[Yi-Guang],
Chen, J.[Jie],
A Survey of ADAS Perceptions With Development in China,
ITS(23), No. 9, September 2022, pp. 14188-14203.
IEEE DOI
2209
Laser radar, Hardware, Intelligent sensors, Safety,
Sensor phenomena and characterization, Standards, Sensor systems,
automated driving regulations in China
BibRef
Li, W.Y.[Wen-Yu],
Li, Q.K.[Qing-Kun],
Li, S.B.E.[Sheng-Bo Eben],
Li, R.J.[Ren-Jie],
Ren, Y.G.[Yan-Gang],
Wang, W.J.[Wen-Jun],
Indirect Shared Control Through Non-Zero Sum Differential Game for
Cooperative Automated Driving,
ITS(23), No. 9, September 2022, pp. 15980-15992.
IEEE DOI
2209
Vehicles, Vehicle dynamics, Wheels, Differential games,
Nonlinear dynamical systems, Games, Safety,
shared control
BibRef
Chia, W.M.D.[Wei Ming Dan],
Keoh, S.L.[Sye Loong],
Goh, C.[Cindy],
Johnson, C.[Christopher],
Risk Assessment Methodologies for Autonomous Driving: A Survey,
ITS(23), No. 10, October 2022, pp. 16923-16939.
IEEE DOI
2210
Safety, Automation, Standards, Vehicles, Autonomous vehicles,
ISO Standards, Automotive engineering, Autonomous vehicle,
vehicle safety management
BibRef
Zhang, E.[Ethan],
Masoud, N.[Neda],
Bandegi, M.[Mahdi],
Malhan, R.K.[Rajesh K.],
Predicting Risky Driving in a Connected Vehicle Environment,
ITS(23), No. 10, October 2022, pp. 17177-17188.
IEEE DOI
2210
Trajectory, Predictive models, Labeling, Safety, Connected vehicles,
Time series analysis, Manuals, Connected vehicles,
intersection safety
BibRef
Shi, X.P.[Xiu-Peng],
Wong, Y.D.[Yiik Diew],
Chai, C.[Chen],
Li, M.Z.F.[Michael Zhi-Feng],
Chen, T.Y.[Tian-Yi],
Zeng, Z.[Zeng],
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle
Driving for Smart Road,
ITS(23), No. 10, October 2022, pp. 17451-17465.
IEEE DOI
2210
Clustering algorithms, Feature extraction, Accidents, Roads, Safety,
Anomaly detection, Risk management, Automatic clustering,
risk indicator
BibRef
Formosa, N.[Nicolette],
Quddus, M.[Mohammed],
Ison, S.[Stephen],
Timmis, A.[Andrew],
A New Modeling Approach for Predicting Vehicle-Based Safety Threats,
ITS(23), No. 10, October 2022, pp. 18175-18185.
IEEE DOI
2210
Safety, Uncertainty, Sensors, Data models, Predictive models, Vehicles,
Deep learning, Advanced driver assistant systems, deep learning,
traffic conflicts
BibRef
Wei, R.[Ran],
McDonald, A.D.[Anthony D.],
Garcia, A.[Alfredo],
Alambeigi, H.[Hananeh],
Modeling Driver Responses to Automation Failures With Active
Inference,
ITS(23), No. 10, October 2022, pp. 18064-18075.
IEEE DOI
2210
Vehicles, Visualization, Predictive models, Automation, Accidents,
Probability distribution, Decision making, Active inference, trust
BibRef
Yekkehkhany, A.[Ali],
Nagi, R.[Rakesh],
Risk-Averse Equilibria for Vehicle Navigation in Stochastic
Congestion Games,
ITS(23), No. 10, October 2022, pp. 18719-18735.
IEEE DOI
2210
Games, Delays, Navigation, Uncertainty, Stochastic processes,
Reliability, Random variables, Stochastic congestion games,
risk-averse equilibrium
BibRef
Brito, B.[Bruno],
Agarwal, A.[Achin],
Alonso-Mora, J.[Javier],
Learning Interaction-Aware Guidance for Trajectory Optimization in
Dense Traffic Scenarios,
ITS(23), No. 10, October 2022, pp. 18808-18821.
IEEE DOI
2210
Planning, Autonomous vehicles, Safety, Merging, Predictive models,
Navigation, Games, Deep reinforcement learning, dense traffic,
trajectory optimization
BibRef
de Gelder, E.[Erwin],
Hof, J.[Jasper],
Cator, E.[Eric],
Paardekooper, J.P.[Jan-Pieter],
den Camp, O.O.[Olaf Op],
Ploeg, J.[Jeroen],
de Schutter, B.[Bart],
Scenario Parameter Generation Method and Scenario Representativeness
Metric for Scenario-Based Assessment of Automated Vehicles,
ITS(23), No. 10, October 2022, pp. 18794-18807.
IEEE DOI
2210
Measurement, Probability density function, Time series analysis,
Safety, Estimation, Roads, Monte Carlo methods, Intelligent vehicles,
automatic testing
BibRef
Akai, N.[Naoki],
Akagi, Y.[Yasuhiro],
Hirayama, T.[Takatsugu],
Morikawa, T.[Takayuki],
Murase, H.[Hiroshi],
Detection of Localization Failures Using Markov Random Fields With
Fully Connected Latent Variables for Safe LiDAR-Based Automated Driving,
ITS(23), No. 10, October 2022, pp. 17130-17142.
IEEE DOI
2210
Location awareness, Measurement uncertainty,
Robot sensing systems, Detectors, Proposals, Particle measurements,
autonomous driving
BibRef
Lu, X.H.[Xing-Hao],
Zhao, H.Y.[Hai-Yan],
Gao, B.Z.[Bing-Zhao],
Chen, W.X.[Wei-Xuan],
Chen, H.[Hong],
Decision-Making Method of Autonomous Vehicles in Urban Environments
Considering Traffic Laws,
ITS(23), No. 11, November 2022, pp. 21641-21652.
IEEE DOI
2212
Behavioral sciences, Law, Decision making, Regulation, Safety, Roads,
Accidents, Decision making, traffic laws, autonomous vehicles
BibRef
Sunberg, Z.[Zachary],
Kochenderfer, M.J.[Mykel J.],
Improving Automated Driving Through POMDP Planning with Human
Internal States,
ITS(23), No. 11, November 2022, pp. 20073-20083.
IEEE DOI
2212
Planning, Safety, Vehicles, Autonomous vehicles, Trajectory,
Uncertainty, Automobiles, Autonomous vehicles, reinforcement learnning
BibRef
Liu, M.S.[Mu-Shuang],
Wan, Y.[Yan],
Lewis, F.L.[Frank L.],
Nageshrao, S.[Subramanya],
Filev, D.[Dimitar],
A Three-Level Game-Theoretic Decision-Making Framework for Autonomous
Vehicles,
ITS(23), No. 11, November 2022, pp. 20298-20308.
IEEE DOI
2212
Games, Decision making, Safety, Autonomous vehicles,
Nash equilibrium, Supervised learning, Roads, Autonomous driving, game theory
BibRef
Cai, P.[Peide],
Wang, H.[Hengli],
Sun, Y.X.[Yu-Xiang],
Liu, M.[Ming],
DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep
Q-Learning and Graph Attention Networks,
ITS(23), No. 11, November 2022, pp. 21102-21112.
IEEE DOI
2212
Autonomous vehicles, Safety, Roads, Training, Behavioral sciences,
Vehicle dynamics, Robots, Autonomous driving, graph neural networks
BibRef
Wang, Y.Y.[Yi-Yun],
Yu, R.J.[Rong-Jie],
Qiu, S.H.[Shu-Han],
Sun, J.[Jian],
Farah, H.[Haneen],
Safety Performance Boundary Identification of Highly Automated
Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach,
ITS(23), No. 12, December 2022, pp. 23809-23820.
IEEE DOI
2212
Safety, Testing, Life estimation, Adaptation models,
Sampling methods, Roads, Aerospace electronics, operational design domain
BibRef
Winkelmann, M.[Max],
Kohlhoff, M.[Mike],
Tadjine, H.H.[Hadj Hamma],
Müller, S.[Steffen],
Probabilistic Metamodels for an Efficient Characterization of Complex
Driving Scenarios,
ITS(23), No. 12, December 2022, pp. 23896-23905.
IEEE DOI
2212
BibRef
And:
Corrections:
ITS(23), No. 12, December 2022, pp. 25574-25574.
IEEE DOI
2212
Safety, Uncertainty, Probabilistic logic, Task analysis,
Gaussian processes, Behavioral sciences, Vehicles, scenario-based testing
BibRef
Liu, J.X.[Jia-Xin],
Wang, H.[Hong],
Peng, L.[Liang],
Cao, Z.[Zhong],
Yang, D.[Diange],
Li, J.[Jun],
PNNUAD: Perception Neural Networks Uncertainty Aware Decision-Making
for Autonomous Vehicle,
ITS(23), No. 12, December 2022, pp. 24355-24368.
IEEE DOI
2212
Uncertainty, Neural networks, Decision making, Object detection,
Autonomous vehicles, Training, Convolutional neural networks,
reinforcement learning
BibRef
Bazilinskyy, P.[Pavlo],
Dodou, D.[Dimitra],
Eisma, Y.B.[Yke Bauke],
Vlakveld, W.[Willem],
de Winter, J.[Joost],
Blinded windows and empty driver seats: The effects of automated
vehicle characteristics on cyclists' decision-making,
IET-ITS(17), No. 1, 2023, pp. 72-84.
DOI Link
2301
BibRef
Perello-March, J.R.[Jaume R.],
Burns, C.G.[Christopher G.],
Woodman, R.[Roger],
Elliott, M.T.[Mark T.],
Birrell, S.A.[Stewart A.],
Using fNIRS to Verify Trust in Highly Automated Driving,
ITS(24), No. 1, January 2023, pp. 739-751.
IEEE DOI
2301
Functional near-infrared spectroscopy, Automation, Reliability,
Particle measurements, Monitoring, Electroencephalography,
trust in automation
BibRef
Mugabarigira, B.A.[Bien Aime],
Shen, Y.W.[Yi-Wen],
Jeong, J.[Jaehoon],
Oh, T.[Tae],
Jeong, H.Y.[Han-You],
Context-Aware Navigation Protocol for Safe Driving in Vehicular
Cyber-Physical Systems,
ITS(24), No. 1, January 2023, pp. 128-138.
IEEE DOI
2301
Safety, Roads, Protocols, Collision avoidance, Autonomous vehicles,
Navigation, Vehicles, Autonomous vehicle, context-aware navigation,
path planning
BibRef
Török, Á.[Árpád],
Do Automated Vehicles Reduce the Risk of Crashes-Dream or Reality?,
ITS(24), No. 1, January 2023, pp. 718-727.
IEEE DOI
2301
Accidents, Vehicles, Autopilot, Safety, Reliability, Databases,
Human factors, Automated vehicles,
collision causes of highly automated vehicles
BibRef
Fernández-Llorca, D.[David],
Gómez, E.[Emilia],
Trustworthy Artificial Intelligence Requirements in the Autonomous
Driving Domain,
Computer(56), No. 2, February 2023, pp. 29-39.
IEEE DOI
2302
Artificial intelligence, Autonomous vehicles,
Automotive engineering, Trust computing
BibRef
Knox, W.B.[W. Bradley],
Allievi, A.[Alessandro],
Banzhaf, H.[Holger],
Schmitt, F.[Felix],
Stone, P.[Peter],
Reward (Mis)design for autonomous driving,
AI(316), 2023, pp. 103829.
Elsevier DOI
2302
Reinforcement learning, Reward design, Utility, Cost, Safety,
Risk, Autonomous driving
BibRef
Li, S.[Shanmei],
Cheng, X.C.[Xiao-Chun],
Huang, X.D.[Xue-Dong],
Otaibi, S.A.[Sattam AI],
Wang, H.Y.[Hong-Yong],
Cooperative Conflict Detection and Resolution and Safety Assessment
for 6G Enabled Unmanned Aerial Vehicles,
ITS(24), No. 2, February 2023, pp. 2183-2198.
IEEE DOI
2302
Autonomous aerial vehicles, Safety, Force, 6G mobile communication,
Heuristic algorithms, Collision avoidance, Atmospheric modeling,
simulation
BibRef
Matin, A.[Ali],
Dia, H.[Hussein],
Impacts of Connected and Automated Vehicles on Road Safety and
Efficiency: A Systematic Literature Review,
ITS(24), No. 3, March 2023, pp. 2705-2736.
IEEE DOI
2303
BibRef
And:
Erratum:
IEEE DOI
2402
Bibliographies, Safety, Systematics, Transportation,
Intelligent transportation systems, Automation, Road safety,
traffic safety
BibRef
Ambros, J.[Jirí],
Usami, D.S.[Davide Shingo],
Valentová, V.[Veronika],
Developing speed-related safety performance indicators from floating
car data,
IET-ITS(17), No. 3, 2023, pp. 553-561.
DOI Link
2303
BibRef
Zhou, W.T.[Wei-Tao],
Cao, Z.[Zhong],
Deng, N.S.[Nan-Shan],
Liu, X.Y.[Xiao-Yu],
Jiang, K.[Kun],
Yang, D.[Diange],
Dynamically Conservative Self-Driving Planner for Long-Tail Cases,
ITS(24), No. 3, March 2023, pp. 3476-3488.
IEEE DOI
2303
Planning, Estimation, Training data, Tail, Safety, Training,
Markov processes, Self-driving vehicle, reinforcement learning,
long-tail
BibRef
Wu, M.Y.[Meng-Yao],
Yu, F.R.[F. Richard],
Liu, P.X.P.[Peter Xiao-Ping],
He, Y.[Ying],
A Hybrid Driving Decision-Making System Integrating Markov Logic
Networks and Connectionist AI,
ITS(24), No. 3, March 2023, pp. 3514-3527.
IEEE DOI
2303
Decision making, Artificial intelligence, Uncertainty,
Autonomous vehicles, Safety, Road transportation, Markov processes,
first-order logic
BibRef
Yang, J.[Jing],
Liang, N.[Nade],
Pitts, B.J.[Brandon J.],
Prakah-Asante, K.O.[Kwaku O.],
Curry, R.[Reates],
Blommer, M.[Mike],
Swaminathan, R.[Radhakrishnan],
Yu, D.[Denny],
Multimodal Sensing and Computational Intelligence for Situation
Awareness Classification in Autonomous Driving,
HMS(53), No. 2, April 2023, pp. 270-281.
IEEE DOI
2303
Task analysis, Electroencephalography, Vehicles, Brain modeling,
Particle measurements, Atmospheric measurements, Physiology,
situation awareness measurement
BibRef
Koopman, P.[Philip],
UL 4600: What to Include in an Autonomous Vehicle Safety Case,
Computer(56), No. 5, May 2023, pp. 101-104.
IEEE DOI
2305
BibRef
Lu, Y.[Yun],
Huang, L.Y.[Ling-Ying],
Yao, J.R.[Jia-Rong],
Su, R.[Rong],
Intention Prediction-Based Control for Vehicle Platoon to Handle
Driver Cut-In,
ITS(24), No. 5, May 2023, pp. 5489-5501.
IEEE DOI
2305
Vehicles, Predictive control, Trajectory, Prediction algorithms,
Road safety, Behavioral sciences, predictive control
BibRef
Xiao, D.[Dannier],
Dianati, M.[Mehrdad],
Geiger, W.G.[William Gonçalves],
Woodman, R.[Roger],
Review of Graph-Based Hazardous Event Detection Methods for
Autonomous Driving Systems,
ITS(24), No. 5, May 2023, pp. 4697-4715.
IEEE DOI
2305
Hazards, Event detection, Roads, Feature extraction, Cognition,
Autonomous vehicles, Trajectory, Hazardous event
BibRef
Candela, E.[Eduardo],
Doustaly, O.[Olivier],
Parada, L.[Leandro],
Feng, F.[Felix],
Demiris, Y.F.[Yi-Fannis],
Angeloudis, P.[Panagiotis],
Risk-aware controller for autonomous vehicles using model-based
collision prediction and reinforcement learning,
AI(320), 2023, pp. 103923.
Elsevier DOI
2306
Autonomous vehicles, Decision making, Risk-aware AI,
Reinforcement learning, Model-based prediction, Explainable AI
BibRef
Miqdady, T.[Tasneem],
de Ońa, R.[Rocío],
Casas, J.[Jordi],
de Ońa, J.[Juan],
Studying Traffic Safety During the Transition Period Between Manual
Driving and Autonomous Driving: A Simulation-Based Approach,
ITS(24), No. 6, June 2023, pp. 6690-6710.
IEEE DOI
2306
Safety, Automation, Autonomous vehicles, Analytical models,
Accidents, Vehicle-to-everything, Computational modeling,
V2X
BibRef
Hu, X.W.[Xiang-Wang],
Zheng, Z.[Zuduo],
Chen, D.J.[Dan-Jue],
Sun, J.[Jian],
Autonomous Vehicle's Impact on Traffic: Empirical Evidence From Waymo
Open Dataset and Implications From Modelling,
ITS(24), No. 6, June 2023, pp. 6711-6724.
IEEE DOI
2306
Trajectory, Behavioral sciences, Safety, Roads, Laser radar,
Automobiles, Time measurement, Autonomous vehicle, car following,
wavelet analysis
BibRef
Weng, B.[Bowen],
Capito, L.[Linda],
Özgüner, Ü.[Ümit],
Redmill, K.[Keith],
A Finite-Sampling, Operational Domain Specific, and Provably Unbiased
Connected and Automated Vehicle Safety Metric,
ITS(24), No. 6, June 2023, pp. 6650-6662.
IEEE DOI
2306
Safety, Measurement, Roads, Lead, Vehicle dynamics, Testing, Shape,
Safety metric, invariant set, connected and automated vehicle,
operational design domain
BibRef
Zhou, J.J.[Jun-Jie],
Wang, L.[Lin],
Wang, X.F.[Xiao-Fan],
Online Adaptive Generation of Critical Boundary Scenarios for
Evaluation of Autonomous Vehicles,
ITS(24), No. 6, June 2023, pp. 6372-6388.
IEEE DOI
2306
Complexity theory, Adaptation models, Vehicle dynamics, Testing,
Behavioral sciences, Safety, Heuristic algorithms,
naturalistic driving environment
BibRef
Ross, P.E.[Philip E.],
5 Questions for Missy Cummings: The Former Fighter Pilot on why
Autonomous Vehicles are so Risky,
Spectrum(60), No. 6, June 2023, pp. 21-21.
IEEE DOI
2306
BibRef
Watkins, L.[Lanier],
Hamilton, D.[Denzel],
Young, T.A.[Tyler A.],
Zanlongo, S.[Sebastian],
Whitcomb, L.L.[Louis L.],
Spielvogel, A.R.[Andrew R.],
Kobzik-Juul, B.[Barbara],
The Roles of Autonomy and Assurance in the Future of Uncrewed
Aircraft Systems in Low-Altitude Airspace Operations,
Computer(56), No. 7, July 2023, pp. 41-53.
IEEE DOI
2307
Autonomous aerial vehicles, Safety
BibRef
Pöllny, O.[Oliver],
Held, A.[Albert],
Kargl, F.[Frank],
Survey of Air, Sea, and Road Vehicles Research for Motion Control
Security,
ITS(24), No. 7, July 2023, pp. 6748-6763.
IEEE DOI
2307
Sensors, Security, Motion control, Sea measurements, Sensor systems,
Road vehicles, Wireless sensor networks, Security, motion control
BibRef
Ding, W.H.[Wen-Hao],
Xu, C.[Chejian],
Arief, M.[Mansur],
Lin, H.[Haohong],
Li, B.[Bo],
Zhao, D.[Ding],
A Survey on Safety-Critical Driving Scenario Generation:
A Methodological Perspective,
ITS(24), No. 7, July 2023, pp. 6971-6988.
IEEE DOI
2307
Measurement, Safety, Autonomous vehicles, Vehicle dynamics, Roads,
Heuristic algorithms, Trajectory, Autonomous vehicles, safety,
deep generative models
BibRef
Valiente, R.[Rodolfo],
Raftari, A.[Arash],
Mahjoub, H.N.[Hossein Nourkhiz],
Razzaghpour, M.[Mahdi],
Mahmud, S.K.[Syed K.],
Fallah, Y.P.[Yaser P.],
Context-aware target classification with hybrid Gaussian process
prediction for cooperative vehicle safety systems,
IET-ITS(17), No. 7, 2023, pp. 1344-1362.
DOI Link
2307
gaussian process, context-aware target classification,
cooperative vehicle safety systems, scalable V2X communication
BibRef
Saha, R.[Ruelia],
Roy, C.[Chandana],
Misra, S.[Sudip],
Soft-Safe: Software Defined Safety-as-a-Service for Intelligent
Transportation System,
ITS(24), No. 8, August 2023, pp. 7911-7919.
IEEE DOI
2308
Control systems, Cloud computing, Software, Delays,
Time factors, Virtualization,
safety
BibRef
Bekiaris-Liberis, N.[Nikolaos],
Robust String Stability and Safety of CTH Predictor-Feedback CACC,
ITS(24), No. 8, August 2023, pp. 8209-8221.
IEEE DOI
2308
Stability analysis, Delays, Numerical stability,
Asymptotic stability, Vehicle dynamics, Safety,
safety of vehicular platoons
BibRef
Sharma, N.[Neerav],
Garg, R.D.[Rahul D.],
Real-Time IoT-Based Connected Vehicle Infrastructure for Intelligent
Transportation Safety,
ITS(24), No. 8, August 2023, pp. 8339-8347.
IEEE DOI
2308
Animals, Roads, Urban areas, Real-time systems, Accidents, Safety, Cows,
ADAS, transport safety, IoT, intelligent system
BibRef
Yang, B.[Bo],
Yan, S.[Song],
Wang, Z.[Zheng],
Nakano, K.[Kimihiko],
Prediction Based Trajectory Planning for Safe Interactions Between
Autonomous Vehicles and Moving Pedestrians in Shared Spaces,
ITS(24), No. 10, October 2023, pp. 10513-10524.
IEEE DOI
2310
BibRef
Shao, W.B.[Wen-Bo],
Xu, Y.C.[Yan-Chao],
Li, J.[Jun],
Lv, C.[Chen],
Wang, W.[Weida],
Wang, H.[Hong],
How Does Traffic Environment Quantitatively Affect the Autonomous
Driving Prediction?,
ITS(24), No. 10, October 2023, pp. 11238-11253.
IEEE DOI
2310
BibRef
Atik, S.T.[Syeda Tanjila],
Brocanelli, M.[Marco],
Grosu, D.[Daniel],
Are Turn-by-Turn Navigation Systems of Regular Vehicles Ready for
Edge-Assisted Autonomous Vehicles?,
ITS(24), No. 10, October 2023, pp. 11146-11156.
IEEE DOI
2310
BibRef
Liu, Z.Y.[Ze-Yi],
He, X.[Xiao],
Real-Time Safety Assessment for Dynamic Systems With Limited Memory
and Annotations,
ITS(24), No. 9, September 2023, pp. 10076-10086.
IEEE DOI
2310
BibRef
Gu, Z.Q.[Zi-Qing],
Gao, L.P.[Ling-Ping],
Ma, H.[Haitong],
Li, S.E.[Shengbo Eben],
Zheng, S.[Sifa],
Jing, W.[Wei],
Chen, J.[Junbo],
Safe-State Enhancement Method for Autonomous Driving via Direct
Hierarchical Reinforcement Learning,
ITS(24), No. 9, September 2023, pp. 9966-9983.
IEEE DOI
2310
BibRef
Cheng, Z.H.[Zhi-Hao],
Shen, L.[Li],
Zhu, M.[Miaoxi],
Guo, J.X.[Jia-Xian],
Fang, M.[Meng],
Liu, L.[Liu],
Du, B.[Bo],
Tao, D.C.[Da-Cheng],
Prescribed Safety Performance Imitation Learning From a Single Expert
Dataset,
PAMI(45), No. 10, October 2023, pp. 12236-12249.
IEEE DOI
2310
learning safe policies that are similar to expert ones
BibRef
Mary, L.,
5 Conclusion from an Automation Expert with Firsthand Knowledge of
Highway Regulation What Self-Driving Cars Tell Us About AI Risks:
'Missy' Cummings,
Spectrum(60), No. 10, October 2023, pp. 30-35.
IEEE DOI
2310
BibRef
Singh, H.[Harnarayan],
Weng, B.[Bowen],
Rao, S.J.[Sughosh J.],
Elsasser, D.[Devin],
A Diversity Analysis of Safety Metrics Comparing Vehicle Performance
in the Lead-Vehicle Interaction Regime,
ITS(24), No. 11, November 2023, pp. 12294-12311.
IEEE DOI
2311
BibRef
Wang, T.[Tiange],
Zhang, Z.J.[Zi-Jun],
Tsui, K.L.[Kwok-Leung],
CAMV:
A Crash Alarm Model for Vehicles Based on Internet of Vehicles Data,
ITS(24), No. 11, November 2023, pp. 12014-12025.
IEEE DOI
2311
BibRef
Liu, J.X.[Jia-Xin],
Wang, H.[Hong],
Cao, Z.[Zhong],
Yu, W.H.[Wen-Hao],
Zhao, C.X.[Cheng-Xiang],
Zhao, D.[Ding],
Yang, D.[Diange],
Li, J.[Jun],
Semantic Traffic Law Adaptive Decision-Making for Self-Driving
Vehicles,
ITS(24), No. 12, December 2023, pp. 14858-14872.
IEEE DOI
2312
BibRef
Chen, X.H.[Xiao-Hong],
Zhang, J.[Juan],
Jin, Z.[Zhi],
Zhang, M.[Min],
Li, T.[Tong],
Chen, X.[Xiang],
Zhou, T.[Tingliang],
Empowering Domain Experts With Formal Methods for Consistency
Verification of Safety Requirements,
ITS(24), No. 12, December 2023, pp. 15146-15157.
IEEE DOI
2312
BibRef
Gong, X.L.[Xian-Liang],
Feng, S.[Shuo],
Pan, Y.L.[Yu-Lin],
An Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of
Connected and Automated Vehicles,
ITS(24), No. 12, December 2023, pp. 14393-14405.
IEEE DOI
2312
BibRef
Wang, X.S.[Xue-Song],
Zhang, J.Z.[Jia-Zhi],
Hou, D.[Diyuan],
Cheng, Y.[Yuhu],
Autonomous Driving Based on Approximate Safe Action,
ITS(24), No. 12, December 2023, pp. 14320-14328.
IEEE DOI
2312
BibRef
He, X.K.[Xiang-Kun],
Wu, J.[Jingda],
Huang, Z.Y.[Zhi-Yu],
Hu, Z.X.[Zhong-Xu],
Wang, J.[Jun],
Sangiovanni-Vincentelli, A.[Alberto],
Lv, C.[Chen],
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous
Driving,
PAMI(46), No. 1, January 2024, pp. 267-279.
IEEE DOI
2312
BibRef
Rossi, S.[Silvia],
Coppola, A.[Alessia],
Gaita, M.[Mariachiara],
Rossi, A.[Alessandra],
Human-Robot Interaction Video Sequencing Task (HRIVST) for Robot's
Behavior Legibility,
HMS(53), No. 6, December 2023, pp. 975-984.
IEEE DOI
2312
Human trust in robot.
BibRef
Li, B.[Bai],
Zhang, Y.[Youmin],
Zhang, T.[Tantan],
Acarman, T.[Tankut],
Ouyang, Y.K.[Ya-Kun],
Li, L.[Li],
Dong, H.R.[Hai-Rong],
Cao, D.[Dongpu],
Embodied Footprints: A Safety-Guaranteed Collision-Avoidance Model
for Numerical Optimization-Based Trajectory Planning,
ITS(25), No. 2, February 2024, pp. 2046-2060.
IEEE DOI
2402
Trajectory, Trajectory planning, Planning, Numerical models,
Iterative methods, Runtime, Intelligent transportation systems,
motion planning
BibRef
Maier, R.[Robert],
Grabinger, L.[Lisa],
Urlhart, D.[David],
Mottok, J.[Jürgen],
Causal Models to Support Scenario-Based Testing of ADAS,
ITS(25), No. 2, February 2024, pp. 1815-1831.
IEEE DOI
2402
Testing, Safety, Automation, Data models, Vehicles, ISO Standards,
Task analysis, Automated driving systems, bayesian networks,
model-based testing
BibRef
Peng, L.[Liang],
Li, B.Q.[Bo-Qi],
Yu, W.H.[Wen-Hao],
Yang, K.[Kai],
Shao, W.B.[Wen-Bo],
Wang, H.[Hong],
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
Autonomous Driving,
ITS(25), No. 2, February 2024, pp. 1530-1546.
IEEE DOI
2402
Uncertainty, Autonomous vehicles, Artificial intelligence, Safety,
Systematics, Roads, Prediction algorithms, Autonomous driving, SOTIF,
entropy
BibRef
Liu, C.X.[Chen-Xi],
Yang, H.[Hao],
Zhu, M.[Meixin],
Wang, F.L.[Fei-Long],
Vaa, T.[Torgeir],
Wang, Y.[Yinhai],
Real-Time Multi-Task Environmental Perception System for Traffic
Safety Empowered by Edge Artificial Intelligence,
ITS(25), No. 1, January 2024, pp. 517-531.
IEEE DOI
2402
Sensors, Roads, Safety, Meteorology, Image edge detection,
Task analysis, Cameras, Traffic environment, traffic perception,
traffic safety
BibRef
Yang, J.X.[Jing-Xuan],
Sun, H.[Haowei],
He, H.[Honglin],
Zhang, Y.[Yi],
Liu, H.X.[Henry X.],
Feng, S.[Shuo],
Adaptive Safety Evaluation for Connected and Automated Vehicles With
Sparse Control Variates,
ITS(25), No. 2, February 2024, pp. 1761-1773.
IEEE DOI
2402
Testing, Safety, Accidents, Sun, Life estimation, Costs, Automation,
Adaptive safety evaluation, connected and automated vehicles,
high-dimensional scenarios
BibRef
Yang, J.[Jiayu],
Lee, J.[Jaeyoung],
Mao, S.[Suyi],
Hu, J.J.[Jun-Jie],
Dynamic Safety Estimation of Airport Pick-Up Area Based on Video
Trajectory Data,
ITS(25), No. 2, February 2024, pp. 1774-1786.
IEEE DOI
2402
Trajectory, Airports, Safety, Transportation, Automobiles, Data mining,
Public transportation, Airport pick-up area,
safety analysis
BibRef
Formosa, N.[Nicolette],
Quddus, M.[Mohammed],
Singh, M.K.[Mohit Kumar],
Man, C.K.[Cheuk Ki],
Morton, C.[Craig],
Masera, C.B.[Cansu Bahar],
An Experiment and Simulation Study on Developing Algorithms for CAVs
to Navigate Through Roadworks,
ITS(25), No. 1, January 2024, pp. 120-132.
IEEE DOI
2402
Roads, Safety, Trajectory, Road transportation, Navigation,
Vehicle dynamics, Heuristic algorithms, Roadworks zone, CAVs,
simulation
BibRef
Piazzoni, A.[Andrea],
Cherian, J.[Jim],
Dauwels, J.[Justin],
Chau, L.P.[Lap-Pui],
PEM: Perception Error Model for Virtual Testing of Autonomous
Vehicles,
ITS(25), No. 1, January 2024, pp. 670-681.
IEEE DOI
2402
Sensors, Safety, Measurement, Testing, Behavioral sciences,
Computational modeling, Cameras, Autonomous vehicles,
simulation
BibRef
Greengard, S.[Samuel],
Service Robots Roll Forward,
CACM(67), No. 1, March 2024, pp. 11-13.
DOI Link
2402
BibRef
Guo, K.[Kexin],
Liu, C.[Cai],
Zhang, X.[Xiao],
Yu, X.[Xiang],
Zhang, Y.[Youmin],
Xie, L.H.[Li-Hua],
Guo, L.[Lei],
A Bio-Inspired Safety Control System for UAVs in Confined Environment
With Disturbance,
Cyber(54), No. 2, February 2024, pp. 1308-1320.
IEEE DOI
2402
Safety, Autonomous aerial vehicles, Control systems,
Behavioral sciences, Switches, Immune system,
group perturbation immune factor (GPIF)
BibRef
Zhang, Y.X.[Yu-Xiang],
Liang, X.L.[Xiao-Ling],
Li, D.Y.[Dong-Yu],
Ge, S.Z.S.[Shu-Zhi Sam],
Gao, B.Z.[Bing-Zhao],
Chen, H.[Hong],
Lee, T.H.[Tong Heng],
Adaptive Safe Reinforcement Learning With Full-State Constraints and
Constrained Adaptation for Autonomous Vehicles,
Cyber(54), No. 3, March 2024, pp. 1907-1920.
IEEE DOI
2402
Safety, Optimization, Control systems, Autonomous vehicles,
Lyapunov methods, Vehicle dynamics, Reinforcement learning,
safe reinforcement learning (RL)
BibRef
Widdowson, C.[Christopher],
Yoon, H.J.[Hyung-Jin],
Hovakimyan, N.[Naira],
Wang, R.F.[Ranxiao Frances],
A Novel Measure of Human Safety Perception in Response to Flight
Characteristics of Collocated UAVs in Virtual Reality,
HMS(54), No. 1, February 2024, pp. 1-10.
IEEE DOI
2402
Quadrotors, Safety, Particle measurements, Atmospheric measurements,
Robots, Autonomous aerial vehicles, virtual reality
BibRef
Zhou, T.Q.[Tu-Qiang],
Liu, W.[Wei],
Zhang, M.Y.[Ming-Yang],
Jia, J.X.[Jian-Xin],
Optimization of AEB Decision System Based on Unsafe Control Behavior
Analysis and Improved ABAS Algorithm,
ITS(25), No. 3, March 2024, pp. 3152-3165.
IEEE DOI
2405
Behavioral sciences, Safety, Collision avoidance, Accidents, Delays,
Antennas, Vehicle-to-everything, Intelligent transportation,
improved ABAS algorithm
BibRef
Kabtoul, M.[Maria],
Prédhumeau, M.[Manon],
Spalanzani, A.[Anne],
Dugdale, J.[Julie],
Martinet, P.[Philippe],
How To Evaluate the Navigation of Autonomous Vehicles Around
Pedestrians?,
ITS(25), No. 3, March 2024, pp. 2311-2321.
IEEE DOI
2405
Pedestrians, Navigation, Trajectory, Measurement, Safety,
Space vehicles, Testing, Autonomous vehicles, simulation and testing
BibRef
Zhang, S.P.[Sheng-Peng],
Tak, T.[Taeoh],
Risk analysis of autonomous vehicle test scenarios using a novel
analytic hierarchy process method,
IET-ITS(18), No. 5, 2024, pp. 794-807.
DOI Link
2405
autonomous driving, risk analysis, road safety, safety
BibRef
Rong, D.L.[Dong-Lei],
Jin, S.[Sheng],
Liu, B.[Bokun],
Yao, W.B.[Wen-Bin],
Safety analysis of autonomous vehicles based on target detection
error,
IET-ITS(18), No. 5, 2024, pp. 932-948.
DOI Link
2405
autonomous driving, error statistics, transport modelling and microsimulation
BibRef
Barth, M.[Matthew],
Co-Benefits and Tradeoffs Between Safety, Mobility, and Environmental
Impacts for Connected and Automated Vehicles,
ITS(25), No. 4, April 2024, pp. 184-213.
IEEE DOI
2405
Technological innovation, Costs, Transportation, Focusing,
Throughput, Safety
BibRef
Chen, Y.[Yaobin],
Tian, R.[Renran],
Social Intelligence for Autonomous Vehicles Interacting With
Vulnerable Road Users,
ITS(25), No. 4, April 2024, pp. 261-277.
IEEE DOI
2405
Pedestrians, Roads, Transportation, Prediction algorithms,
Social intelligence, Trajectory, Safety
BibRef
Narla, S.[Siva],
Lessons Learned in Developing CAV Standards and Independent
Stakeholder Validation,
ITS(25), No. 4, April 2024, pp. 366-390.
IEEE DOI
2405
Pedestrians, Production, Organizations, Mobile handsets, Safety,
Timing, Stakeholders
BibRef
Ioannou, P.[Petros],
Connectivity, Automation and Safety in Transportation of the Future,
ITS(25), No. 4, April 2024, pp. 94-123.
IEEE DOI
2405
Automation, Robot kinematics, Open loop systems,
Robot sensing systems, Software, Sensor systems, Safety
BibRef
Yang, C.Y.D.[C. Y. David],
Safety and Human Factors Considerations in Connected and Automated
Vehicles: Research Findings and Future Needs,
ITS(25), No. 4, April 2024, pp. 76-93.
IEEE DOI
2405
Training, Human factors, Companies, Data collection, Safety,
Internet, Autonomous automobiles
BibRef
Zhang, W.B.[Wei Bin],
Implications of Safety Definition for Automated Driving,
ITS(25), No. 4, April 2024, pp. 71-75.
IEEE DOI
2405
Industries, Pedestrians, Roads, Conferences, Road vehicles, Safety, Sensors
BibRef
Abbas, M.[Monty],
Enabling Analysis, Modeling, and Simulation for Cooperative Automated
Vehicle Applications in Transportation Systems: The Pillar Diagram,
ITS(25), No. 4, April 2024, pp. 2-28.
IEEE DOI
2405
Analytical models, Heuristic algorithms, Transportation,
Brain modeling, Safety, Particle swarm optimization, Programming profession
BibRef
Qiao, C.M.[Chun-Ming],
Sadek, A.[Adel],
Towards a National CAV Certification Center,
ITS(25), No. 4, April 2024, pp. 29-53.
IEEE DOI
2405
Connected vehicles, Transportation, Transforms, Sensors, Safety,
Digital twins, Stakeholders
BibRef
Gee, K.W.[King W.],
Opportunities for Collaboration Arising from AASHTO's CAV Policy
Principles,
ITS(25), No. 4, April 2024, pp. 391-404.
IEEE DOI
2405
Industries, Economics, Collaboration, Transportation, Safety,
Reliability, Sustainable development
BibRef
Eskandarian, A.[Azim],
Advanced Methods and Algorithms for Selected Connected Autonomous
Vehicles (CAVs) Benefits,
ITS(25), No. 4, April 2024, pp. 405-442.
IEEE DOI
2405
Navigation, Vehicle-to-infrastructure, Roads, Merging,
Vehicular ad hoc networks, Throughput, Safety
BibRef
Kang, N.[Ning],
Zhang, L.G.[Li-Guo],
Zong, W.G.[Wei-Guo],
Huang, P.[Pan],
Zhang, Y.Q.[Yu-Qiang],
Zhou, C.[Chen],
Qiao, J.[Jian],
Xue, B.[Bingsen],
A Multi-Satellite Space Environment Risk Prediction and Real-Time
Warning System for Satellite Safety Management,
RS(16), No. 10, 2024, pp. 1814.
DOI Link
2405
BibRef
Cao, H.[Huanhui],
Xiong, H.[Hao],
Zeng, W.F.[Wei-Feng],
Jiang, H.T.[Han-Tao],
Cai, Z.Y.[Zhi-Yuan],
Hu, L.[Liang],
Zhang, L.[Lin],
Lu, W.J.[Wen-Jie],
Safe Reinforcement Learning-Based Motion Planning for Functional
Mobile Robots Suffering Uncontrollable Mobile Robots,
ITS(25), No. 5, May 2024, pp. 4346-4363.
IEEE DOI Code:
WWW Link.
2405
Safety, Planning, Mobile robots, Robot kinematics, Task analysis,
Reinforcement learning, Collision avoidance, uncontrollable robots
BibRef
Han, S.Y.[Song-Yang],
Zhou, S.L.[Shang-Lin],
Wang, J.W.[Jiang-Wei],
Pepin, L.[Lynn],
Ding, C.[Caiwen],
Fu, J.[Jie],
Miao, F.[Fei],
A Multi-Agent Reinforcement Learning Approach for Safe and Efficient
Behavior Planning of Connected Autonomous Vehicles,
ITS(25), No. 5, May 2024, pp. 3654-3670.
IEEE DOI Code:
WWW Link.
2405
Safety, Behavioral sciences, Planning, Autonomous vehicles, Training,
Reinforcement learning, control barrier function
BibRef
Zhang, B.[Bowei],
Chen, Y.H.[Ye-Hwa],
Jia, Y.F.[Yi-Fan],
Huang, J.[Jin],
Yang, D.[Diange],
Zhong, Z.H.[Zhi-Hua],
Accuracy and Safety: Tracking Control of Heavy-Duty Cooperative
Transportation Systems Using Constraint-Following Method,
ITS(25), No. 5, May 2024, pp. 3628-3641.
IEEE DOI
2405
Payloads, Transportation, Force, Vehicle dynamics, Trajectory,
Dynamics, Autonomous vehicles, Cooperative transportation,
constraintfollowing control
BibRef
Sun, C.[Chen],
Zhang, R.[Ruihe],
Lu, Y.K.[Yu-Kun],
Cui, Y.[Yaodong],
Deng, Z.[Zejian],
Cao, D.[Dongpu],
Khajepour, A.[Amir],
Toward Ensuring Safety for Autonomous Driving Perception:
Standardization Progress, Research Advances, and Perspectives,
ITS(25), No. 5, May 2024, pp. 3286-3304.
IEEE DOI
2405
Safety, Autonomous vehicles, Task analysis, Object detection, Taxonomy,
tandards, Sensors, Autonomous driving, perception safety, system reliability
BibRef
Zhang, H.[He],
Sun, J.[Jian],
Tian, Y.[Ye],
Accelerated Risk Assessment for Highly Automated Vehicles:
Surrogate-Based Monte Carlo Method,
ITS(25), No. 6, June 2024, pp. 5488-5497.
IEEE DOI
2406
Monte Carlo methods, Testing, Safety, Risk management, Automation,
Life estimation, Sun, Highly automated vehicles, Monte Carlo simulation
BibRef
Huang, T.[Tengchao],
Song, S.[Shuang],
Hu, H.[Huosheng],
Gao, Y.L.[Yun-Long],
Shao, G.F.[Gui-Fang],
Zhu, Q.Y.[Qing-Yuan],
A Hierarchical LiDAR Simulation Framework Incorporating Physical
Attenuation Response in Autonomous Driving Scenarios,
ITS(25), No. 6, June 2024, pp. 6200-6211.
IEEE DOI
2406
Laser radar, Laser modes, Measurement by laser beam, Laser theory,
Point cloud compression, Computational modeling, Reflection, LiDAR,
autonomous vehicles
BibRef
Tada, M.[Masahiro],
Nishida, M.[Masayuki],
Real-Time Safety Driving Advisory System Utilizing a Vision-Based
Driving Monitoring Sensor,
IEICE(E108-D), No. 7, July 2024, pp. 901-907.
WWW Link.
2407
BibRef
Hanselaar, C.A.J.[Caspar Antonius Jacobus],
Silvas, E.[Emilia],
Terechko, A.[Andrei],
Heemels, W.P.M.H.,
The Safety Shell: An Architecture to Handle Functional
Insufficiencies in Automated Driving,
ITS(25), No. 7, July 2024, pp. 7522-7540.
IEEE DOI
2407
Safety, Trajectory, Testing, Surveys, Sensors, Sensor systems, Planning,
Automated vehicles, safety, redundant architecture, faults
BibRef
Kalaria, D.[Dvij],
Lin, Q.[Qin],
Dolan, J.M.[John M.],
Delay-Aware Robust Control for Safe Autonomous Driving and Racing,
ITS(25), No. 7, July 2024, pp. 7140-7150.
IEEE DOI Code:
WWW Link.
2407
Delays, Vehicle dynamics, Optimization, Actuators, Safety,
Process control, Computational modeling, Autonomous driving, safe control
BibRef
Yan, X.[Xintao],
Feng, S.[Shuo],
LeBlanc, D.J.[David J.],
Flannagan, C.[Carol],
Liu, H.X.[Henry X.],
Evaluation of Automated Driving System Safety Metrics With Logged
Vehicle Trajectory Data,
ITS(25), No. 8, August 2024, pp. 8913-8925.
IEEE DOI
2408
Measurement, Safety, Trajectory, Real-time systems,
Phase change materials, Vehicles, Systematics, Safety metric,
logged trajectory data
BibRef
Siami, M.[Mohammad],
Naderpour, M.[Mohsen],
Ramezani, F.[Fahimeh],
Lu, J.[Jie],
Risk Assessment Through Big Data:
An Autonomous Fuzzy Decision Support System,
ITS(25), No. 8, August 2024, pp. 9016-9027.
IEEE DOI
2408
Big Data, Risk management, Self-organizing feature maps,
Fuzzy logic, Decision support systems, Clustering algorithms, fuzzy systems
BibRef
Hou, X.Y.[Xin-Yu],
Chen, P.[Peng],
Analysis of Road Safety Perception and Influencing Factors in a
Complex Urban Environment: Taking Chaoyang District, Beijing, as an
Example,
IJGI(13), No. 8, 2024, pp. 272.
DOI Link
2408
BibRef
van der Ploeg, C.[Chris],
Nyberg, T.[Truls],
Sánchez, J.M.G.[José Manuel Gaspar],
Silvas, E.[Emilia],
van de Wouw, N.[Nathan],
Overcoming Fear of the Unknown: Occlusion-Aware Model-Predictive
Planning for Automated Vehicles Using Risk Fields,
ITS(25), No. 9, September 2024, pp. 12591-12604.
IEEE DOI
2409
Roads, Planning, Trajectory, Vehicle dynamics, Shape,
Predictive models, Pedestrians, Motion planning, artificial potential fields
BibRef
Wang, J.[Jie],
Pant, Y.V.[Yash Vardhan],
Zhao, L.[Lei],
Antkiewicz, M.[Michal],
Czarnecki, K.[Krzysztof],
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and
Efficient Control of Autonomous and Human-Driven Vehicles,
ITS(25), No. 9, September 2024, pp. 12784-12799.
IEEE DOI
2409
Computational modeling, Safety, Predictive models, Uncertainty,
Adaptation models, Vehicles, Vehicle dynamics, model predictive control
BibRef
Zhong, J.M.[Jia-Ming],
Mehrizi, R.V.[Reza Valiollahi],
Pirani, M.[Mohammad],
Yu, C.[Chao],
Kasaiezadeh, A.[Alireza],
Pant, Y.V.[Yash Vardhan],
Khajepour, A.[Amir],
Learning Agent-Based Model Predictive Control for Holistic Vehicle
Performance,
ITS(25), No. 11, November 2024, pp. 17482-17492.
IEEE DOI
2411
Uncertainty, Vehicle dynamics, Real-time systems,
Predictive control, Computational modeling, Actuators, Accuracy,
stochastic chance constraint
BibRef
Liu, P.[Peng],
Chu, Y.Y.[Yue-Ying],
Wang, G.Q.[Guan-Qun],
Xu, Z.G.[Zhi-Gang],
To Err is Automation: Can Trust be Repaired by the Automated Driving
System After its Failure?,
HMS(54), No. 5, October 2024, pp. 508-519.
IEEE DOI
2410
Maintenance engineering, Automation, Psychology, Vehicles,
Virtual assistants, Human voice, Uncertainty, trust repair
BibRef
Vaaler, A.[Aksel],
Husa, S.J.[Svein Jostein],
Menges, D.[Daniel],
Larsen, T.N.[Thomas Nakken],
Rasheed, A.[Adil],
Modular control architecture for safe marine navigation:
Reinforcement learning with predictive safety filters,
AI(336), 2024, pp. 104201.
Elsevier DOI
2410
Safety filter, Collision avoidance, Path following, Autonomous surface vessel
BibRef
Zhou, R.[Rui],
Lin, Z.Q.[Zi-Qian],
Zhang, G.Q.[Guo-Qing],
Huang, H.[Helai],
Zhou, H.[Hanchu],
Chen, J.[Jiguang],
Evaluating Autonomous Vehicle Safety Performance Through Analysis of
Pre-Crash Trajectories of Powered Two-Wheelers,
ITS(25), No. 10, October 2024, pp. 13560-13572.
IEEE DOI
2410
Accidents, Testing, Safety, Trajectory, Roads, Databases, Automobiles,
Traffic safety, autonomous vehicles, testing scenarios, clustering analysis
BibRef
Zhang, Z.[Zheng],
Liu, Q.[Qi],
Li, Y.J.[Yan-Jie],
Lin, K.[Ke],
Li, L.[Linyu],
Safe Reinforcement Learning in Autonomous Driving With Epistemic
Uncertainty Estimation,
ITS(25), No. 10, October 2024, pp. 13653-13666.
IEEE DOI
2410
Uncertainty, Autonomous vehicles, Safety, Optimization,
Reinforcement learning, Costs, Task analysis,
risk aware policy
BibRef
Li, G.P.[Guo-Peng],
Li, Z.[Zirui],
Knoop, V.L.[Victor Lambert],
van Lint, J.W.C.,
How Far Ahead Should Autonomous Vehicles Start Resolving Predicted
Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off,
ITS(25), No. 10, October 2024, pp. 14183-14195.
IEEE DOI
2410
Uncertainty, Safety, Predictive models, Spatial resolution,
Space vehicles, Autonomous vehicles, Trajectory,
autonomous vehicles
BibRef
Molloy, J.[John],
Shahbeigi, S.[Sepeedeh],
McDermid, J.A.[John A.],
Hazard and Safety Analysis of Machine-Learning-Based Perception
Capabilities in Autonomous Vehicles,
Computer(57), No. 11, November 2024, pp. 60-70.
IEEE DOI
2410
Road vehicles, Hazards, Autonomous vehicles
BibRef
Liu, Z.[Zhen],
Gao, H.[Hang],
Lin, Y.T.[Ye-Ting],
Gong, X.[Xun],
Enhancing Planning for Autonomous Driving via an Iterative
Optimization Framework Incorporating Safety-Critical Trajectory
Generation,
RS(16), No. 19, 2024, pp. 3721.
DOI Link
2410
BibRef
Joshi, H.C.[Hem Chandra],
Kumar, S.[Sandeep],
Artificial Intelligence Failures in Autonomous Vehicles:
Causes, Implications, and Prevention,
Computer(57), No. 11, November 2024, pp. 18-30.
IEEE DOI
2410
Prevention and mitigation, Artificial intelligence, Autonomous vehicles
BibRef
Cummings, M.M.[Mary Missy],
Wheeler, B.[Benjamin],
Kliem, J.[John],
A Root Cause Analysis of a Self-Driving Car Dragging a Pedestrian,
Computer(57), No. 11, November 2024, pp. 31-40.
IEEE DOI
2410
Root cause analysis, Pedestrians, Protocols, Reviews, Taxonomy,
Hazards, Autonomous automobiles, Artificial intelligence, Accidents
BibRef
Li, M.[Meng],
Sun, H.Y.[Heng-Yang],
Huang, Y.J.[Yan-Jun],
Chen, H.[Hong],
SVCE: Shapley Value Guided Counterfactual Explanation for Machine
Learning-Based Autonomous Driving,
ITS(25), No. 10, October 2024, pp. 14905-14916.
IEEE DOI
2410
Autonomous vehicles, Predictive models, Data models, Manuals,
Optimization, Computational modeling, Analytical models,
autonomous driving
BibRef
Khan, S.K.[Shah Khalid],
Shiwakoti, N.[Nirajan],
Stasinopoulos, P.[Peter],
Warren, M.[Matthew],
Driving a safer future: Exploring cross-country perspectives in
automated vehicle adoption by considering cyber risks, liability, and
data concerns,
IET-ITS(18), No. 11, 2024, pp. 1999-2014.
DOI Link
2411
accident analysis, accident prevention,
automated driving and intelligent vehicles, data analysis, perception
BibRef
Petho, Z.[Zsombor],
Kazár, T.M.[Tamás Márton],
Szalay, Z.[Zsolt],
Török, Á.[Árpád],
Quantifying Cyber Risks: The Impact of DoS Attacks on Vehicle Safety
in V2X Networks,
ITS(25), No. 11, November 2024, pp. 18591-18600.
IEEE DOI
2411
Vehicle-to-everything, Vehicle safety, Quality of service,
Computer security, Security, Wireless communication, network performance
BibRef
Lenzo, B.[Basilio],
Goel, T.[Tushar],
Gerdes, J.C.[Joseph Christian],
Autonomous Drifting Using Torque Vectoring: Innovating Active Safety,
ITS(25), No. 11, November 2024, pp. 17931-17939.
IEEE DOI
2411
Torque, Force, Wheels, Mathematical models, Load modeling, Tires, Safety,
Torque vectoring, drifting, autonomous vehicle, vehicle dynamics, experiments
BibRef
Zhao, S.[Shiyue],
Zhang, J.Z.[Jun-Zhi],
He, X.X.[Xiao-Xia],
He, C.K.[Cheng-Kun],
Hou, X.H.[Xiao-Hui],
Huang, H.[Heye],
Han, J.H.[Jin-Heng],
A Harmonized Approach: Beyond-the-Limit Control for Autonomous
Vehicles Balancing Performance and Safety in Unpredictable
Environments,
ITS(25), No. 11, November 2024, pp. 15827-15840.
IEEE DOI
2411
Safety, Transient analysis, Training, Task analysis,
Autonomous vehicles, Automobiles, Tires, Autonomous vehicles,
performance and safety optimization
BibRef
Kacan, M.[Marin],
evrovic, M.[Marko],
egvic, S.[Sinia],
Dynamic Loss Balancing and Sequential Enhancement for Road-Safety
Assessment and Traffic Scene Classification,
ITS(25), No. 11, November 2024, pp. 15628-15640.
IEEE DOI
2411
Roads, Multitasking, Safety, Feature extraction, Visualization,
Accidents, Standards, Image classification, road safety,
multi-task learning
BibRef
Pia Tek, P.[Piotr],
Mydlowski, P.[Piotr],
Buczacki, A.[Aleksander],
Moskwa, S.[Szczepan],
Concept of Using the MBSE Approach to Integrate Security Patterns in
Safety-Related Projects for the Automotive Industry,
ITS(25), No. 11, November 2024, pp. 15477-15492.
IEEE DOI
2411
Security, Automotive engineering, Safety, Industries,
Computer security, System analysis and design, Standards, automotive
BibRef
Huang, W.H.[Wen-Hui],
Liu, H.C.[Hao-Chen],
Huang, Z.Y.[Zhi-Yu],
Lv, C.[Chen],
Safety-Aware Human-in-the-Loop Reinforcement Learning With Shared
Control for Autonomous Driving,
ITS(25), No. 11, November 2024, pp. 16181-16192.
IEEE DOI Code:
WWW Link.
2411
Autonomous vehicles, Safety, Reinforcement learning, Training,
Real-time systems, Task analysis, Human in the loop,
shared control
BibRef
Zhao, C.G.[Chen-Guang],
Yu, H.[Huan],
Robust Safety for Mixed-Autonomy Traffic With Delays and Disturbances,
ITS(25), No. 11, November 2024, pp. 16522-16535.
IEEE DOI
2411
Delays, Safety, Actuators, Stability analysis, Vehicle dynamics,
Traffic control, Observers, Mixed-autonomy systems, sensor delay
BibRef
Song, D.J.[Dong-Jian],
Zhao, J.[Jian],
Zhu, B.[Bing],
Han, J.Y.[Jia-Yi],
Jia, S.Z.[Shi-Zheng],
Subjective Driving Risk Prediction Based on Spatiotemporal
Distribution Features of Human Driver's Cognitive Risk,
ITS(25), No. 11, November 2024, pp. 16687-16703.
IEEE DOI
2411
Vehicles, Videos, Predictive models, Cognition,
Spatiotemporal phenomena, Safety, Accidents, Intelligent vehicle,
spatiotemporal distribution
BibRef
Hou, X.H.[Xiao-Hui],
Gan, M.G.[Ming-Gang],
Wu, W.[Wei],
Ji, Y.[Yuan],
Zhao, S.[Shiyue],
Chen, J.[Jie],
Cross-Observability Optimistic-Pessimistic Safe Reinforcement
Learning for Interactive Motion Planning With Visual Occlusion,
ITS(25), No. 11, November 2024, pp. 17602-17613.
IEEE DOI
2411
Planning, Vehicle dynamics, Safety, Visualization,
Autonomous vehicles, Uncertainty, Reinforcement learning,
visual occlusion
BibRef
Schwindt-Drews, S.[Sarah],
Storms, K.[Kai],
Peters, S.[Steven],
Abendroth, B.[Bettina],
Acceptance and Trust: Drivers' First Contact With Released Automated
Vehicles in Naturalistic Traffic,
ITS(25), No. 11, November 2024, pp. 18601-18610.
IEEE DOI
2411
Vehicles, User experience, Usability, Safety, Storms, Task analysis,
Surveys, Automated driving, acceptance, trust
BibRef
Park, S.[Seungyoung],
Lee, S.[Sangseok],
Kim, E.[Eunyoung],
Kim, J.[Jungwook],
Park, Y.[Youngin],
Eom, S.[Sungwook],
Kim, S.B.[Sung-Bum],
Han, S.[Seunghui],
Enhancing road safety through misbehaviour detection in
vehicle-to-everything systems of Korea,
IET-ITS(18), No. 11, 2024, pp. 2273-2289.
DOI Link
2411
public key cryptography, telecommunication security,
vehicle automation and connectivity
BibRef
Jiang, Z.M.[Zheng-Min],
Liu, J.[Jia],
Sun, P.[Peng],
Sang, M.[Ming],
Li, H.Y.[Hui-Yun],
Pan, Y.[Yi],
Generation of Risky Scenarios for Testing Automated Driving Visual
Perception Based on Causal Analysis,
ITS(25), No. 11, November 2024, pp. 15991-16004.
IEEE DOI
2411
Visual perception, Testing, Neurons, Indexes, Visualization,
Image transformation, Autonomous vehicles, evaluation
BibRef
Huang, Y.Q.[Yao-Qi],
Wang, X.[Xiuying],
Hazards Prioritization With Cognitive Attention Maps for Supporting
Driving Decision-Making,
ITS(25), No. 11, November 2024, pp. 16221-16234.
IEEE DOI
2411
Hazards, Visualization, Semantics, Resource management, Appraisal,
Task analysis, Pipelines, Attention map, autonomous vehicles,
scene understanding
BibRef
Gu, S.D.[Shang-Ding],
Yang, L.[Long],
Du, Y.[Yali],
Chen, G.[Guang],
Walter, F.[Florian],
Wang, J.[Jun],
Knoll, A.[Alois],
A Review of Safe Reinforcement Learning: Methods, Theories, and
Applications,
PAMI(46), No. 12, December 2024, pp. 11216-11235.
IEEE DOI
2411
Safety, Benchmark testing, Complexity theory, Robots, Reviews,
Optimization, Costs, Safe reinforcement learning (RL), safety problems
BibRef
Tang, X.Z.[Xian-Zhi],
Xie, Y.J.[Yong-Jia],
Li, X.L.[Xin-Long],
Wang, B.[Bo],
Riding feeling recognition based on multi-head self-attention LSTM
for driverless automobile,
PR(159), 2025, pp. 111135.
Elsevier DOI
2412
Electroencephalography (EEG), Attention, Feature extraction, Driving experience
BibRef
Huang, C.X.[Chun-Xi],
Wang, J.[Jiyao],
Yan, S.[Song],
He, D.[Dengbo],
Exploring Factors Related to Drivers' Mental Model of and Trust in
Advanced Driver Assistance Systems Using an ABN-Based Mixed Approach,
HMS(54), No. 6, December 2024, pp. 646-657.
IEEE DOI
2412
Safety, Advanced driver assistance systems, Regression analysis,
Bayes methods, Trust management, Human factors, Surveys, trust
BibRef
Li, D.[Daofei],
Jiang, Y.[Yangye],
Zhang, J.J.[Jia-Jie],
Xiao, B.[Bin],
SMPC-Based Motion Planning of Automated Vehicle When Interacting With
Occluded Pedestrians,
ITS(25), No. 12, December 2024, pp. 19820-19830.
IEEE DOI
2412
Pedestrians, Planning, Uncertainty, Phantoms, Safety, Vehicles, Roads,
Probabilistic logic, Predictive models, Predictive control,
pedestrian-driver-in-the-loop experiment
BibRef
Avetisyan, L.[Lilit],
Ayoub, J.[Jackie],
Yang, X.J.[X. Jessie],
Zhou, F.[Feng],
Building Contextualized Trust Profiles in Conditionally Automated
Driving,
HMS(54), No. 6, December 2024, pp. 658-667.
IEEE DOI
2412
Automation, Surveys, Human-machine systems, Human factors,
Trust management, Autonomous vehicles, Emotional responses,
contextualized trust profiles
BibRef
Li, J.[Jing],
Wang, X.[Xuantong],
Zhang, T.[Tong],
A spatiotemporal learning approach to safety-oriented individualized
driving risk assessment in a vehicle-to-everything (V2X) environment,
IET-ITS(18), No. 12, 2024, pp. 2459-2484.
DOI Link
2501
artificial intelligence, feature extraction,
intelligent transportation systems, risk analysis
BibRef
Sun, H.T.[Hong-Tao],
Chen, X.R.[Xin-Ran],
Zhang, Z.Q.[Zheng-Qiang],
Ge, X.H.[Xiao-Hua],
Peng, C.[Chen],
Data-Driven Event-Triggered Sliding Mode Secure Control for
Autonomous Vehicles Under Actuator Attacks,
Cyber(55), No. 1, January 2025, pp. 436-446.
IEEE DOI
2501
Autonomous vehicles, Actuators, Vehicle dynamics, Event detection, Bandwidth,
Data-driven modeling, Uncertainty, Sun, Sensors, Security, secure control
BibRef
Huang, Y.[Yan],
Sun, J.[Jian],
Tian, Y.[Ye],
A Bayesian Optimization Method for Finding the Worst-Case Scenarios
of Autonomous Vehicles,
ITS(26), No. 1, January 2025, pp. 529-543.
IEEE DOI
2501
Testing, Autonomous vehicles, Optimization, Bayes methods, Safety,
Search problems, Uncertainty, Biological system modeling, surrogate models
BibRef
Zhang, R.[Ruihe],
Sun, C.[Chen],
Valiollahimehrizi, R.[Reza],
Czarnecki, K.[Krzysztof],
Khajepour, A.[Amir],
An Uncertainty-Aware, Dual-Tiered Decision-Making Method for Safe
Autonomous Driving,
ITS(26), No. 1, January 2025, pp. 691-702.
IEEE DOI
2501
Uncertainty, Autonomous vehicles, Safety, Decision making,
Trajectory, Bayes methods, Prediction algorithms,
system reliability
BibRef
Liang, J.H.[Jin-Hao],
Yang, K.D.[Kai-Di],
Tan, C.[Chaopeng],
Wang, J.X.[Jin-Xiang],
Yin, G.D.[Guo-Dong],
Enhancing High-Speed Cruising Performance of Autonomous Vehicles
Through Integrated Deep Reinforcement Learning Framework,
ITS(26), No. 1, January 2025, pp. 835-848.
IEEE DOI
2501
Decision making, Vehicles, Safety, Autonomous vehicles,
Vehicle dynamics, Tires, Complexity theory, Centralized control,
high-speed cruising
BibRef
Zhang, S.[Sinan],
Wang, S.H.[Shao-Hua],
Fan, B.[Bo],
Liu, J.Z.[Jian-Zhen],
Chen, Y.Y.[Yan-Yan],
Multi-Factor Roadside Unit Deployment Optimization Considering
Traffic Safety Risks,
ITS(26), No. 2, February 2025, pp. 2252-2265.
IEEE DOI
2502
Safety, Costs, Roads, Optimization, Accidents, Trajectory,
Transportation, Quality of service, Data models,
intelligent transportation systems
BibRef
Zheng, L.[Lei],
Yang, R.[Rui],
Wang, M.Y.[Michael Yu],
Ma, J.[Jun],
Barrier-Enhanced Parallel Homotopic Trajectory Optimization for
Safety-Critical Autonomous Driving,
ITS(26), No. 2, February 2025, pp. 2169-2186.
IEEE DOI
2502
Safety, Planning, Autonomous vehicles, Optimization,
Real-time systems, Decision making, Trajectory optimization,
integrated decision-making and planning
BibRef
Yan, Y.J.[Yong-Jun],
Han, D.M.[Dong-Ming],
Zhang, Q.X.[Qi-Xiang],
Wang, J.X.[Jin-Xiang],
Pi, D.W.[Da-Wei],
Chu, D.[Duanfeng],
Yin, G.D.[Guo-Dong],
Event-Triggered Personalized Driving Based on Passenger's Subjective
Risk Evaluation,
ITS(26), No. 2, February 2025, pp. 1982-1998.
IEEE DOI
2502
Vehicles, Trajectory, Safety, Decision making, Trajectory planning,
Vehicle dynamics, Roads, Real-time systems, Visualization,
visual-preview trajectory planning
BibRef
Yang, Y.X.[Yu-Xiang],
Ge, F.[Fenglong],
Fan, J.L.[Jin-Long],
Zhao, J.F.[Ju-Feng],
Dong, Z.[Zhekang],
CDRP3: Cascade Deep Reinforcement Learning for Urban Driving Safety
With Joint Perception, Prediction, and Planning,
ITS(26), No. 3, March 2025, pp. 3976-3988.
IEEE DOI
2503
Safety, Autonomous vehicles, Decision making, Vehicle dynamics,
Training, Planning, Dynamics, Reinforcement learning, Navigation,
safety decision-making
BibRef
Fan, J.L.[Jia-Lin],
Ni, Y.[Ying],
Zhao, D.[Donghu],
Hang, P.[Peng],
Sun, J.[Jian],
Toward Proactive-Aware Autonomous Driving: A Reinforcement Learning
Approach Utilizing Expert Priors During Unprotected Turns,
ITS(26), No. 3, March 2025, pp. 3700-3712.
IEEE DOI
2503
Decision making, Turning, Adaptation models, Hidden Markov models,
Safety, Vehicle dynamics, Complexity theory, Autonomous vehicles,
ambiguous scenario
BibRef
Lai, H.Y.[Hsueh-Yi],
Framework of Adaptive Driving: Linking Situation Awareness, Driving
Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic
Data,
ITS(26), No. 3, March 2025, pp. 3295-3306.
IEEE DOI
2503
Gaze tracking, Vehicles, Safety, Vehicle dynamics, Pupils,
Kinetic theory, Decision making, Automation, Tracking, Probes,
eye-tracking
BibRef
Lu, Y.Q.[Yong-Qiang],
Ma, H.J.[Hong-Jie],
Smart, E.[Edward],
Yu, H.[Hui],
Enhancing Autonomous Driving Decision: A Hybrid Deep Reinforcement
Learning-Kinematic-Based Autopilot Framework for Complex Motorway
Scenes,
ITS(26), No. 3, March 2025, pp. 3198-3209.
IEEE DOI
2503
Training, Safety, Decision making, Reliability, Autonomous vehicles,
Autopilot, Training data, Driver behavior, Roads, Planning,
hybrid autopilot framework
BibRef
Hu, J.[Jia],
Xu, T.[Tian],
Yan, X.[Xuerun],
Wang, H.[Hong],
Lai, J.T.[Jin-Tao],
An Accelerated Filter for Critical Scenario Identification in
Automated Driving Function Testing: A Model-Free Approach,
ITS(26), No. 3, March 2025, pp. 3128-3146.
IEEE DOI
2503
Testing, Safety, Reliability, Matched filters, Fitting, Symbols, Roads,
Predictive models, Intelligent transportation systems,
critical scenario identification
BibRef
Wang, K.[Ke],
Shen, C.Q.[Chong-Qiang],
Li, X.C.[Xing-Can],
Lu, J.B.[Jian-Bo],
Uncertainty Quantification for Safe and Reliable Autonomous Vehicles:
A Review of Methods and Applications,
ITS(26), No. 3, March 2025, pp. 2880-2896.
IEEE DOI
2503
Uncertainty, Autonomous vehicles, Reviews, Safety, Deep learning,
Accuracy, Robustness, ISO Standards, Scalability,
scientific machine learning
BibRef
Yang, J.X.[Jing-Xuan],
Bai, R.X.[Ruo-Xuan],
Ji, H.Y.[Hao-Yuan],
Zhang, Y.[Yi],
Hu, J.M.[Jian-Ming],
Feng, S.[Shuo],
Adaptive Testing Environment Generation for Connected and Automated
Vehicles With Dense Reinforcement Learning,
ITS(26), No. 4, April 2025, pp. 5135-5145.
IEEE DOI
2504
Testing, Computer crashes, Safety, Reinforcement learning,
Optimization, Monte Carlo methods, Robustness, Adaptation models,
dense reinforcement learning
BibRef
Kim, D.M.[Dong-Min],
Lee, H.[Hwanpil],
Lee, J.Y.[Joo-Young],
Unsupervised Learning Approach for Risky Driving Behavior
Identification on Expressways in C-ITS Environments,
ITS(26), No. 4, April 2025, pp. 5146-5155.
IEEE DOI
2504
Driver behavior, Accidents, Data mining, Safety management,
Monitoring, Feature extraction, Unsupervised learning, Probes,
risky driving behavior
BibRef
Ciuban, S.[Sebastian],
Teunissen, P.J.G.[Peter J. G.],
Tiberius, C.C.J.M.[Christian C. J. M.],
Dependence Between Parameter Estimation and Statistical Hypothesis
Testing: Positioning Safety Analysis for Automated/Autonomous
Vehicles,
ITS(26), No. 4, April 2025, pp. 5509-5521.
IEEE DOI
2504
Safety, Testing, Vectors, Probability density function,
Parameter estimation, Mathematical models, Adaptation models,
automated driving
BibRef
Gyllenhammar, M.[Magnus],
Rodrigues-de Campos, G.[Gabriel],
Törngren, M.[Martin],
The Road to Safe Automated Driving Systems: A Review of Methods
Providing Safety Evidence,
ITS(26), No. 4, April 2025, pp. 4315-4345.
IEEE DOI
2504
Safety, Reviews, Complexity theory, Roads, Uncertainty, Surveys,
Standards, Risk management, Design methodology, Vehicles,
review
BibRef
Zhang, F.[Fei],
Yang, G.H.[Guang-Hong],
Dimirovski, G.M.[Georgi Marko],
Performance-Prescribed Optimal Control for Target Enclosing of
Vehicles via Control Barrier Function-Based Reinforcement Learning,
ITS(26), No. 4, April 2025, pp. 5552-5567.
IEEE DOI
2504
Optimal control, Safety, Stability criteria, Robustness, Costs,
Trajectory, Target tracking, Convergence, Autonomous vehicles,
autonomous vehicles
BibRef
Yao, X.X.[Xin-Xin],
Liu, J.H.[Jia-Hang],
Zhang, X.L.[Xing-Long],
Xu, X.[Xin],
Receding-Horizon Reinforcement Learning for Time-Delayed
Human-Machine Shared Control of Intelligent Vehicles,
HMS(55), No. 2, April 2025, pp. 155-164.
IEEE DOI
2504
Vehicle dynamics, Delay effects, Autonomous vehicles, Reinforcement learning,
Driver behavior, Safety, Optimal control, time delays
BibRef
Cavalcanti, U.L.[Ugo Leone],
Poggi, M.[Matteo],
Tosi, F.[Fabio],
Cambareri, V.[Valerio],
Zlokolica, V.[Vladimir],
Mattoccia, S.[Stefano],
CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth
Estimation,
WACV25(2578-2590)
IEEE DOI
2505
Accuracy, Depth measurement, Vehicle safety, Benchmark testing,
Sensors, Reliability, Usability, Standards, dataset, depth estimation, itof
BibRef
Ljungbergh, W.[William],
Tonderski, A.[Adam],
Johnander, J.[Joakim],
Caesar, H.[Holger],
Ĺström, K.[Kalle],
Felsberg, M.[Michael],
Petersson, C.[Christoffer],
Neuroncap: Photorealistic Closed-loop Safety Testing for Autonomous
Driving,
ECCV24(XXX: 161-177).
Springer DOI
2412
BibRef
Shimomura, K.[Kota],
Hirakawa, T.[Tsubasa],
Yamashita, T.[Takayoshi],
Fujiyoshi, H.[Hironobu],
Potential Risk Localization via Weak Labeling out of Blind Spot,
WAD24(4504-4513)
IEEE DOI
2410
Training, Point cloud compression, Pedestrians, Accuracy,
Annotations, Computational modeling, Estimation, Deep Learning
BibRef
Zhang, H.C.[Hai-Chao],
Xu, Y.[Yi],
Lu, H.S.[Hong-Sheng],
Shimizu, T.[Takayuki],
Fu, Y.[Yun],
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning
Denoising,
CVPR24(14802-14811)
IEEE DOI
2410
Visualization, Accuracy, Noise reduction, Cameras, Trajectory, Safety,
Out-of-Sight Trajectory Prediction, Vision-Positioning, OOSTraj,
denosing
BibRef
Weng, X.[Xinshuo],
Ivanovic, B.[Boris],
Wang, Y.[Yan],
Wang, Y.[Yue],
Pavone, M.[Marco],
PARA-Drive: Parallelized Architecture for Real-Time Autonomous
Driving,
CVPR24(15449-15458)
IEEE DOI
2410
Systematics, Runtime, Pipelines,
Real-time systems, Safety, Autonomous driving, End-to-end driving,
Multi-task learning
BibRef
Song, J.[Jaehyun],
Yoo, M.[Minjong],
Woo, H.[Honguk],
Model Adaptation for Time Constrained Embodied Control,
CVPR24(16499-16508)
IEEE DOI
2410
Performance evaluation, Adaptation models, Multitasking, Routing,
Robustness, Safety, Time-constraint, Model adaptation
BibRef
Liu, D.[Di],
Zhuang, B.B.[Bing-Bing],
Metaxas, D.N.[Dimitris N.],
Chandraker, M.[Manmohan],
Instantaneous Perception of Moving Objects in 3D,
CVPR24(19573-19583)
IEEE DOI
2410
Point cloud compression, Pedestrians, Shape, Motion estimation,
Estimation, Safety, Autonomous driving, 3D perception
BibRef
Zimmer, W.[Walter],
Wardana, G.A.[Gerhard Arya],
Sritharan, S.[Suren],
Zhou, X.C.[Xing-Cheng],
Song, R.[Rui],
Knoll, A.C.[Alois C.],
TUMTraf V2X Cooperative Perception Dataset,
CVPR24(22668-22677)
IEEE DOI
2410
Point cloud compression, Solid modeling, Computational modeling,
Object detection, Road safety, Sensors, Autonomous Driving,
OpenLABEL
BibRef
Doula, A.[Achref],
Mühlhäuser, M.[Max],
Guinea, A.S.[Alejandro Sanchez],
AR-CP: Uncertainty-Aware Perception in Adverse Conditions with
Conformal Prediction and Augmented Reality For Assisted Driving,
FaDE-TCV24(216-226)
IEEE DOI
2410
Visualization, Uncertainty, Roads, Lighting, Reliability theory,
Safety
BibRef
Yatbaz, H.Y.[Hakan Yekta],
Dianati, M.[Mehrdad],
Koufos, K.[Konstantinos],
Woodman, R.[Roger],
Run-time Monitoring of 3D Object Detection in Automated Driving
Systems Using Early Layer Neural Activation Patterns,
SAIAD24(3522-3531)
IEEE DOI
2410
Object detection, Detectors, Real-time systems, Safety,
Automated driving systems, error detection, integrity monitoring,
perception
BibRef
Gannamaneni, S.S.[Sujan Sai],
Klein, F.[Frederic],
Mock, M.[Michael],
Akila, M.[Maram],
Exploiting CLIP Self-Consistency to Automate Image Augmentation for
Safety Critical Scenarios,
SAIAD24(3594-3604)
IEEE DOI
2410
Image segmentation, Systematics, Pedestrians, Image color analysis,
Pipelines, Semantics, Tail, Autonomous Driving, Image Inpainting,
Safety-Critical Scenarios
BibRef
Wang, Y.Q.[Yu-Qi],
He, J.W.[Jia-Wei],
Fan, L.[Lue],
Li, H.X.[Hong-Xin],
Chen, Y.T.[Yun-Tao],
Zhang, Z.X.[Zhao-Xiang],
Driving Into the Future: Multiview Visual Forecasting and Planning
with World Model for Autonomous Driving,
CVPR24(14749-14759)
IEEE DOI
2410
Visualization, Roads, Predictive models, Robustness, Planning,
Trajectory, Safety, World model, End-to-end planning,
Video generation
BibRef
Wang, N.F.[Ning-Fei],
Luo, Y.P.[Yun-Peng],
Sato, T.[Takami],
Xu, K.D.[Kai-Di],
Chen, Q.A.[Qi Alfred],
Does Physical Adversarial Example Really Matter to Autonomous
Driving?
Towards System-Level Effect of Adversarial Object Evasion Attack,
ICCV23(4389-4400)
IEEE DOI
2401
BibRef
Bender, S.[Sidney],
Joseph, T.[Tim],
Zöllner, J.M.[J. Marius],
Cycle-consistent World Models for Domain Independent Latent Imagination,
SafeDrive22(561-574).
Springer DOI
2304
For learning real-world data.
BibRef
Vivekanandan, A.[Abhishek],
Maier, N.[Niels],
Zöllner, J.M.[J. Marius],
Plausibility Verification for 3d Object Detectors Using Energy-based
Optimization,
AVVision22(602-616).
Springer DOI
2304
BibRef
Hanselmann, N.[Niklas],
Renz, K.[Katrin],
Chitta, K.[Kashyap],
Bhattacharyya, A.[Apratim],
Geiger, A.[Andreas],
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation
via Kinematics Gradients,
ECCV22(XXXVIII:335-352).
Springer DOI
2211
BibRef
Jing, T.T.[Tao-Tao],
Xia, H.F.[Hai-Feng],
Tian, R.[Renran],
Ding, H.R.[Hao-Ran],
Luo, X.[Xiao],
Domeyer, J.[Joshua],
Sherony, R.[Rini],
Ding, Z.M.[Zheng-Ming],
InAction: Interpretable Action Decision Making for Autonomous Driving,
ECCV22(XXXVIII:370-387).
Springer DOI
2211
BibRef
Hazard, C.[Christopher],
Bhagat, A.[Akshay],
Buddharaju, B.R.[Balarama Raju],
Liu, Z.[Zhongtao],
Shao, Y.M.[Yun-Ming],
Lu, L.[Lu],
Omari, S.[Sammy],
Cui, H.G.[Heng-Gang],
Importance is in your attention:
Agent importance prediction for autonomous driving,
Precognition22(2531-2534)
IEEE DOI
2210
Conferences, Predictive models, Trajectory,
Task analysis, Autonomous vehicles
BibRef
Chen, Y.Q.[Yi-Qiang],
Liu, F.[Feng],
Pei, K.[Ke],
Cross-modal Matching CNN for Autonomous Driving Sensor Data
Monitoring,
AVVision21(3103-3112)
IEEE DOI
2112
Measurement, Laser radar, Fault detection, Data integrity,
Safety, Quality assessment
BibRef
Wang, J.K.[Jing-Kang],
Pun, A.[Ava],
Tu, J.[James],
Manivasagam, S.[Sivabalan],
Sadat, A.[Abbas],
Casas, S.[Sergio],
Ren, M.[Mengye],
Urtasun, R.[Raquel],
AdvSim: Generating Safety-Critical Scenarios for Self-Driving
Vehicles,
CVPR21(9904-9913)
IEEE DOI
2111
Training, Laser radar, Robustness, Safety, Trajectory, Planning
BibRef
Singh, V.[Vasu],
Hari, S.K.S.[Siva Kumar Sastry],
Tsai, T.[Timothy],
Pitale, M.[Mandar],
Simulation Driven Design and Test for Safety of AI Based Autonomous
Vehicles,
SAIAD21(122-128)
IEEE DOI
2109
Location awareness, Navigation, Computational modeling,
Real-time systems, Safety, Trajectory, Planning
BibRef
Rabe, M.[Martin],
Milz, S.[Stefan],
Mäder, P.[Patrick],
Development Methodologies for Safety Critical Machine Learning
Applications in the Automotive Domain: A Survey,
SAIAD21(129-141)
IEEE DOI
2109
Training, Systematics, Machine learning, Tools, Network architecture,
Data models, Software
BibRef
Wong, K.[Kelvin],
Zhang, Q.A.[Qi-Ang],
Liang, M.[Ming],
Yang, B.[Bin],
Liao, R.J.[Ren-Jie],
Sadat, A.[Abbas],
Urtasun, R.[Raquel],
Testing the Safety of Self-driving Vehicles by Simulating Perception
and Prediction,
ECCV20(XXVI:312-329).
Springer DOI
2011
BibRef
Fang, P.,
Zecong, W.,
Zhang, X.,
Vehicle automatic driving system based on embedded and machine
learning,
CVIDL20(281-284)
IEEE DOI
2102
embedded systems, learning (artificial intelligence),
road accidents, road safety, road traffic, road vehicles,
machine learning
BibRef
Deo, N.,
Meoli, N.,
Rangesh, A.,
Trivedi, M.M.,
On Control Transitions in Autonomous Driving:
A Framework and Analysis for Characterizing Scene Complexity,
ADW19(2422-2426)
IEEE DOI
2004
driver information systems, mobile robots, optical radar,
road safety, road vehicles, traffic engineering computing,
Control Transitions
BibRef
Chowdhuri, S.,
Pankaj, T.,
Zipser, K.,
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving,
WACV19(1496-1504)
IEEE DOI
1904
automobiles, learning (artificial intelligence), neural nets,
remotely operated vehicles, road safety, roads,
Kernel
BibRef
Benenson, R.,
Fraichard, T.,
Parent, M.,
Achievable safety of driverless ground vehicles,
ICARCV08(515-521).
IEEE DOI
1109
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Autonomous Vehicles in Mixed Traffic .