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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
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
Jiang, Y.,
Liu, H.,
Song, H.,
Kong, H.,
Wang, R.,
Guan, Y.,
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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,
Computer architecture, 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
Guo, L.X.[Long-Xiang],
Jia, Y.Y.[Yun-Yi],
Anticipative and Predictive Control of Automated Vehicles in
Communication-Constrained Connected Mixed Traffic,
ITS(23), No. 7, July 2022, pp. 7206-7219.
IEEE DOI
2207
Predictive control, Delays, Predictive models, Safety, Brakes,
Acceleration, Vehicles, Human driving behaviors,
connected mixed traffic
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
Wang, X.W.[Xin-Wei],
Alonso-Mora, J.[Javier],
Wang, M.[Meng],
Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal
Trajectory Predictions,
ITS(23), No. 10, October 2022, pp. 19399-19412.
IEEE DOI
2210
Trajectory, Predictive models, Measurement, Accidents, Safety,
Uncertainty, Computational modeling,
trajectory prediction
BibRef
Liu, X.L.[Xu-Lei],
Wang, Y.[Yafei],
Jiang, K.[Kun],
Zhou, Z.S.[Zhi-Song],
Nam, K.[Kanghyun],
Yin, C.L.[Cheng-Liang],
Interactive Trajectory Prediction Using a Driving Risk Map-Integrated
Deep Learning Method for Surrounding Vehicles on Highways,
ITS(23), No. 10, October 2022, pp. 19076-19087.
IEEE DOI
2210
Trajectory, Uncertainty, Roads, Predictive models, Deep learning,
Vehicles, Safety, Automated vehicles, trajectory prediction,
deep learning
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.[Yiyun],
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
Johora, F.T.[Fatema T.],
Yang, D.F.[Dong-Fang],
Müller, J.P.[Jörg P.],
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On the Generalizability of Motion Models for Road Users in
Heterogeneous Shared Traffic Spaces,
ITS(23), No. 12, December 2022, pp. 23084-23098.
IEEE DOI
2212
Roads, Automobiles, Behavioral sciences, Data models,
Analytical models, Adaptation models, Force, Mixed traffic,
game-theoretic social force model
BibRef
Hu, Y.[Yeping],
Zhan, W.[Wei],
Tomizuka, M.[Masayoshi],
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware
Probabilistic Prediction,
ITS(23), No. 12, December 2022, pp. 23212-23230.
IEEE DOI
2212
Predicting the possible behaviors of traffic participants.
Semantics, Trajectory, Cognition, Autonomous vehicles, Task analysis,
Probabilistic logic, Predictive models, Probabilistic prediction,
graph reasoning
BibRef
Bazilinskyy, P.[Pavlo],
Dodou, D.[Dimitra],
Eisma, Y.B.[Yke Bauke],
Vlakveld, W.[Willem],
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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.[Yiwen],
Jeong, J.[Jaehoon],
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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
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
Vivekanandan, A.[Abhishek],
Maier, N.[Niels],
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Plausibility Verification for 3d Object Detectors Using Energy-based
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AVVision22(602-616).
Springer DOI
2304
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KING: Generating Safety-Critical Driving Scenarios for Robust Imitation
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ECCV22(XXXVIII:335-352).
Springer DOI
2211
BibRef
Jing, T.T.[Tao-Tao],
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InAction: Interpretable Action Decision Making for Autonomous Driving,
ECCV22(XXXVIII:370-387).
Springer DOI
2211
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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, Pattern recognition,
Task analysis, Autonomous vehicles
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Chen, Y.Q.[Yi-Qiang],
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Cross-modal Matching CNN for Autonomous Driving Sensor Data
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AVVision21(3103-3112)
IEEE DOI
2112
Measurement, Laser radar, Fault detection, Data integrity,
Safety, Quality assessment
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AdvSim: Generating Safety-Critical Scenarios for Self-Driving
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CVPR21(9904-9913)
IEEE DOI
2111
Training, Laser radar, Robustness, Safety, Trajectory, Planning
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Simulation Driven Design and Test for Safety of AI Based Autonomous
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SAIAD21(122-128)
IEEE DOI
2109
Location awareness, Navigation, Computational modeling,
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Development Methodologies for Safety Critical Machine Learning
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SAIAD21(129-141)
IEEE DOI
2109
Training, Systematics, Machine learning, Tools, Network architecture,
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Vehicle automatic driving system based on embedded and machine
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CVIDL20(281-284)
IEEE DOI
2102
embedded systems, learning (artificial intelligence),
road accidents, road safety, road traffic, road vehicles,
machine learning
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Meoli, N.,
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On Control Transitions in Autonomous Driving:
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IEEE DOI
2004
driver information systems, mobile robots, optical radar,
road safety, road vehicles, traffic engineering computing,
Control Transitions
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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,
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Kernel
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Achievable safety of driverless ground vehicles,
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IEEE DOI
1109
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Underwater Autonomous Vehicles .