15.3.1 ALV, Autonomous Vehicles, Robotic Systems or Vehicles, Autonomous Robots

Rasekhipour, Y., Khajepour, A., Chen, S.K., Litkouhi, B.,
A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles,
ITS(18), No. 5, May 2017, pp. 1255-1267.
IEEE DOI 1705
Collision avoidance, Optimal control, Path planning, Predictive models, Roads, Vehicle dynamics, Vehicles, Path planning, artificial potential field, autonomous vehicles, model predictive control, road vehicles, vehicle, dynamics, and, control BibRef

Hester, T.[Todd], Stone, P.[Peter],
Intrinsically motivated model learning for developing curious robots,
AI(247), No. 1, 2017, pp. 170-186.
Elsevier DOI 1705
Reinforcement, learning BibRef

Thornton, S.M., Pan, S., Erlien, S.M., Gerdes, J.C.,
Incorporating Ethical Considerations Into Automated Vehicle Control,
ITS(18), No. 6, June 2017, pp. 1429-1439.
IEEE DOI 1706
Autonomous automobiles, Ethics, Law, Optimization, Roads, Vehicles, Autonomous vehicles, ethics, model predictive control, vehicle, control BibRef

Ding, L., Li, S., Liu, Y.J., Gao, H., Chen, C., Deng, Z.,
Adaptive Neural Network-Based Tracking Control for Full-State Constrained Wheeled Mobile Robotic System,
SMCS(47), No. 8, August 2017, pp. 2410-2419.
IEEE DOI 1708
Adaptive systems, Algorithm design and analysis, Artificial neural networks, Heuristic algorithms, Mobile robots, Nonlinear systems, Adaptive control, barrier Lyapunov function (BLF), full state constraint, neural network (NN), wheeled mobile robotic (WMR) systems BibRef

Ding, L., Li, S., Gao, H., Chen, C., Deng, Z.,
Adaptive Partial Reinforcement Learning Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems,
SMCS(50), No. 7, July 2020, pp. 2512-2523.
IEEE DOI 2006
Artificial neural networks, Adaptive systems, Mobile robots, Learning (artificial intelligence), Nonlinear systems, wheeled mobile robots (WMRs) BibRef

Liu, S., Tang, J., Zhang, Z., Gaudiot, J.L.,
Computer Architectures for Autonomous Driving,
Computer(50), No. 8, August 2017, pp. 18-25.
IEEE DOI 1708
Autonomous vehicles, Cameras, Global Positioning System, Laser radar, Process control, Real-time systems, Sensors, autonomous driving, autonomous vehicles, computer architecture, embedded systems, hardware, low-power computing applications, perception, sensing BibRef

Liu, S., Tang, J., Wang, C., Wang, Q., Gaudiot, J.L.,
A Unified Cloud Platform for Autonomous Driving,
Computer(50), No. 12, December 2017, pp. 42-49.
IEEE DOI 1801
Autonomous automobiles, Cloud computing, Computational modeling, Distributed computing, Field programmable gate arrays, Alluxio, simulation testing BibRef

Chen, J., Jia, B., Zhang, K.,
Trifocal Tensor-Based Adaptive Visual Trajectory Tracking Control of Mobile Robots,
Cyber(47), No. 11, November 2017, pp. 3784-3798.
IEEE DOI 1710
Mobile robots, Tensile stress, Trajectory, Visualization, Mobile robot, trifocal tensor, visual, trajectory, tracking BibRef

Guo, J., Luo, Y., Li, K.,
An Adaptive Hierarchical Trajectory Following Control Approach of Autonomous Four-Wheel Independent Drive Electric Vehicles,
ITS(19), No. 8, August 2018, pp. 2482-2492.
IEEE DOI 1808
Trajectory, Autonomous vehicles, Vehicle dynamics, Tires, Electric vehicles, Wheels, Autonomous vehicles, vehicle lateral dynamic BibRef

Miao, Q., Cebon, D.,
Path-Following Control Based on Ground-Watching Navigation,
ITS(19), No. 8, August 2018, pp. 2592-2602.
IEEE DOI 1808
Navigation, Wheels, Cameras, Agricultural machinery, Roads, Machine vision, Lead, Path following, active steering, ground-watching navigation BibRef

Ma, C., Xue, J., Liu, Y., Yang, J., Li, Y., Zheng, N.,
Data-Driven State-Increment Statistical Model and Its Application in Autonomous Driving,
ITS(19), No. 12, December 2018, pp. 3872-3882.
IEEE DOI 1812
Trajectory, Actuators, Kinematics, Mathematical model, Autonomous vehicles, Predictive models, Standards, path prediction BibRef

Inceoglu, A.[Arda], Koc, C.[Cagatay], Kanat, B.O.[Besim Ongun], Ersen, M.[Mustafa], Sariel, S.[Sanem],
Continuous Visual World Modeling for Autonomous Robot Manipulation,
SMCS(49), No. 1, January 2019, pp. 192-205.
IEEE DOI 1901
Visualization, Image color analysis, Robot sensing systems, Task analysis, Data models, 3-D perception, service robots, visual world modeling BibRef

Chai, R., Savvaris, A., Tsourdos, A., Chai, S., Xia, Y.,
Trajectory Optimization of Space Maneuver Vehicle Using a Hybrid Optimal Control Solver,
Cyber(49), No. 2, February 2019, pp. 467-480.
IEEE DOI 1901
Optimal control, Space vehicles, Trajectory optimization, Atmospheric modeling, Mathematical model, Aerodynamics, trajectory optimization BibRef

Vega, A.[Araceli], Manso, L.J.[Luis J.], Macharet, D.G.[Douglas G.], Bustos, P.[Pablo], Núñez, P.[Pedro],
Socially aware robot navigation system in human-populated and interactive environments based on an adaptive spatial density function and space affordances,
PRL(118), 2019, pp. 72-84.
Elsevier DOI 1902
Social navigation, Aware robot navigation, Affordances BibRef

Tang, Z.[Zhao], Xu, X.[Xing], Wang, F.[Feng], Jiang, X.W.[Xin-Wei], Jiang, H.B.[Hao-Bin],
Coordinated Control for Path Following of Two-Wheel Independently Actuated Autonomous Ground Vehicle,
IET-ITS(13), No. 4, April 2019, pp. 628-635.
DOI Link 1903
BibRef

Wang, Y.[Yu], Li, X.P.[Xiao-Peng], Yao, H.D.[Han-Dong],
Review of trajectory optimisation for connected automated vehicles,
IET-ITS(13), No. 4, April 2019, pp. 580-586.
DOI Link 1903
BibRef

Yang, D.S.[Dong-Sheng], Bi, S.S.[Shu-Sheng], Wang, W.[Wei], Yuan, C.[Chang], Wang, W.[Wei], Qi, X.Y.[Xian-Yu], Cai, Y.[Yueri],
DRE-SLAM: Dynamic RGB-D Encoder SLAM for a Differential-Drive Robot,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, Q., Ayalew, B., Weiskircher, T.,
Predictive Maneuver Planning for an Autonomous Vehicle in Public Highway Traffic,
ITS(20), No. 4, April 2019, pp. 1303-1315.
IEEE DOI 1904
Planning, Trajectory, Uncertainty, Predictive models, Computational modeling, Optimization, Road transportation, hybrid system modeling BibRef

Yuan, K.[Kang], Shu, H.[Hong], Huang, Y.J.[Yan-Jun], Zhang, Y.B.[Yu-Biao], Khajepour, A.[Amir], Zhang, L.[Lin],
Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control,
IET-ITS(13), No. 6, June 2019, pp. 950-959.
DOI Link 1906
BibRef

Zhang, N.[Naisi], Ni, J.[Jun], Hu, J.[Jibin],
Robust H 8 state feedback control for handling stability of intelligent vehicles on a novel all-wheel independent steering mode,
IET-ITS(13), No. 10, October 2019, pp. 1579-1589.
DOI Link 1909
BibRef

Zhou, L.L.[Ling-Li], Zhang, H.F.[Hao-Feng], Long, Y.[Yang], Shao, L.[Ling], Yang, J.Y.[Jing-Yu],
Depth Embedded Recurrent Predictive Parsing Network for Video Scenes,
ITS(20), No. 12, December 2019, pp. 4643-4654.
IEEE DOI 2001
Semantics, Image segmentation, Autonomous robots, Navigation, Spatiotemporal phenomena, Recurrent neural networks, long short term memory (LSTM) BibRef

Yu, C., Wang, X., Xu, X., Zhang, M., Ge, H., Ren, J., Sun, L., Chen, B., Tan, G.,
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs,
ITS(21), No. 2, February 2020, pp. 735-748.
IEEE DOI 2002
Autonomous vehicles, Vehicle dynamics, Decision making, Reinforcement learning, Topology, Road transportation, Germanium, multiagent learning BibRef

Wan, K.F.[Kai-Fang], Gao, X.G.[Xiao-Guang], Hu, Z.J.[Zi-Jian], Wu, G.F.[Gao-Feng],
Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Das, S.[Soumi], Mandal, S.[Sayan], Bhoyar, A.[Ashwin], Bharde, M.[Madhumita], Ganguly, N.[Niloy], Bhattacharya, S.[Suparna], Bhattacharya, S.[Sourangshu],
Multi-criteria online frame-subset selection for autonomous vehicle videos,
PRL(133), 2020, pp. 349-355.
Elsevier DOI 2005
Active learning, Video frame selection, Autonomous driving, Semantic segmentation BibRef

Dai, X., Yuan, X., Pei, L., Wei, X.,
Deeply Supervised Z-Style Residual Network Devotes to Real-Time Environment Perception for Autonomous Driving,
ITS(21), No. 6, June 2020, pp. 2396-2408.
IEEE DOI 2006
Feature extraction, Object detection, Autonomous vehicles, Detectors, Proposals, Computer architecture, CNN BibRef

Li, J., Zhan, W., Hu, Y., Tomizuka, M.,
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving,
ITS(21), No. 9, September 2020, pp. 3634-3649.
IEEE DOI 2008
Target tracking, Predictive models, Monte Carlo methods, Hidden Markov models, Probabilistic logic, Trajectory, bahavior recognition BibRef

Wang, B., Gong, J., Chen, H.,
Motion Primitives Representation, Extraction and Connection for Automated Vehicle Motion Planning Applications,
ITS(21), No. 9, September 2020, pp. 3931-3945.
IEEE DOI 2008
Trajectory, Libraries, Planning, Data mining, Heuristic algorithms, Vehicles, Task analysis, Driving data, human factors, motion primitives BibRef

Xu, X., Zuo, L., Li, X., Qian, L., Ren, J., Sun, Z.,
A Reinforcement Learning Approach to Autonomous Decision Making of Intelligent Vehicles on Highways,
SMCS(50), No. 10, October 2020, pp. 3884-3897.
IEEE DOI 2009
Decision making, Intelligent vehicles, Road transportation, Approximation algorithms, Vehicle dynamics, value function approximation BibRef

Hatfield, M.[Michael], Cahill, C.[Catherine], Webley, P.[Peter], Garron, J.[Jessica], Beltran, R.[Rebecca],
Integration of Unmanned Aircraft Systems into the National Airspace System-Efforts by the University of Alaska to Support the FAA/NASA UAS Traffic Management Program,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Chiaroni, F., Rahal, M.C., Hueber, N., Dufaux, F.,
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods,
SPMag(38), No. 1, January 2021, pp. 31-41.
IEEE DOI 2012
Learning systems, Autonomous vehicles BibRef

Navas, F., Milanés, V., Flores, C., Nashashibi, F.,
Multi-Model Adaptive Control for CACC Applications,
ITS(22), No. 2, February 2021, pp. 1206-1216.
IEEE DOI 2102
Vehicle dynamics, Stability analysis, Adaptation models, Adaptive control, Uncertainty, Heuristic algorithms, multi-model adaptive control BibRef

Liu, M., Zhao, F., Niu, J., Liu, Y.,
ReinforcementDriving: Exploring Trajectories and Navigation for Autonomous Vehicles,
ITS(22), No. 2, February 2021, pp. 808-820.
IEEE DOI 2102
Reinforcement learning, Autonomous vehicles, Navigation, Roads, Trajectory, Robots, Real-time systems, Reinforcement learning, DDPG, autonomous driving BibRef

Muratore, F.[Fabio], Gienger, M.[Michael], Peters, J.[Jan],
Assessing Transferability From Simulation to Reality for Reinforcement Learning,
PAMI(43), No. 4, April 2021, pp. 1172-1183.
IEEE DOI 2103
Robot control from simulations. Optimization, Robots, Training, Physics, Upper bound, Analytical models, Reinforcement learning, sim-to-real transfer BibRef

Yuan, W., Li, Z., Su, C.Y.,
Multisensor-Based Navigation and Control of a Mobile Service Robot,
SMCS(51), No. 4, April 2021, pp. 2624-2634.
IEEE DOI 2103
Navigation, Service robots, Planning, Mobile robots, Collision avoidance, Kinematics, Navigation function, service robot BibRef

Zhao, J.[Jian], Li, Y.X.[Ya-Xin], Zhu, B.[Bing], Deng, W.W.[Wei-Wen], Sun, B.[Bohua],
Method and Applications of Lidar Modeling for Virtual Testing of Intelligent Vehicles,
ITS(22), No. 5, May 2021, pp. 2990-3000.
IEEE DOI 2105
Laser radar, Atmospheric modeling, Data models, Meteorology, Automotive engineering, Attenuation, unwanted raw data BibRef

Mokhtari, S.[Sohrab], Abbaspour, A.[Alireza], Yen, K.K.[Kang K.], Sargolzaei, A.[Arman],
Neural Network-Based Active Fault-Tolerant Control Design for Unmanned Helicopter with Additive Faults,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Quek, Y.T.[Yang Thee], Koh, L.L.[Li Ling], Koh, N.T.[Ngiap Tiam], Tso, W.A.[Wai Ann], Woo, W.L.[Wai Lok],
Deep Q-network implementation for simulated autonomous vehicle control,
IET-ITS(15), No. 7, 2021, pp. 875-885.
DOI Link 2106
BibRef

Jiang, R.S.[Run-Song], Liu, Z.J.[Zhang-Jie], Li, H.Y.[Hui-Yun],
Evolution towards optimal driving strategies for large-scale autonomous vehicles,
IET-ITS(15), No. 8, 2021, pp. 1018-1027.
DOI Link 2107
BibRef

Klingner, M.[Marvin], Fingscheidt, T.[Tim],
Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation,
ITS(22), No. 7, July 2021, pp. 4670-4683.
IEEE DOI 2107
Task analysis, Estimation, Semantics, Measurement, Training, Neural networks, Laser radar, Performance prediction, self-supervised learning BibRef

Zhao, X.M.[Xiang-Mo], Qi, M.Y.[Ming-Yuan], Liu, Z.[Zhanwen], Fan, S.H.[Song-Hua], Li, C.[Chao], Dong, M.[Ming],
End-to-end autonomous driving decision model joined by attention mechanism and spatiotemporal features,
IET-ITS(15), No. 9, 2021, pp. 1119-1130.
DOI Link 2108
BibRef

Taghavifar, H.[Hamid], Hu, C.[Chuan], Qin, Y.C.[Ye-Chen], Wei, C.F.[Chong-Feng],
EKF-Neural Network Observer Based Type-2 Fuzzy Control of Autonomous Vehicles,
ITS(22), No. 8, August 2021, pp. 4788-4800.
IEEE DOI 2108
Tires, Robustness, Uncertainty, Fuzzy control, Autonomous vehicles, Stability analysis, Observers, Autonomous vehicles, Path-following, type-2 Fuzzy neural network BibRef

Hu, C.[Chuan], Gao, H.B.[Hong-Bo], Guo, J.H.[Jing-Hua], Taghavifar, H.[Hamid], Qin, Y.C.[Ye-Chen], Na, J.[Jing], Wei, C.F.[Chong-Feng],
RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance,
SMCS(51), No. 9, September 2021, pp. 5336-5348.
IEEE DOI 2108
Transient analysis, Motion control, Asymptotic stability, Dynamics, Rollover, Tires, Autonomous ground vehicles (AGVs), lane keeping, roll control BibRef

Nguyen, A.T.[Anh-Tu], Rath, J.[Jagat], Guerra, T.M.[Thierry-Marie], Palhares, R.[Reinaldo], Zhang, H.[Hui],
Robust Set-Invariance Based Fuzzy Output Tracking Control for Vehicle Autonomous Driving Under Uncertain Lateral Forces and Steering Constraints,
ITS(22), No. 9, September 2021, pp. 5849-5860.
IEEE DOI 2109
Vehicle dynamics, Robustness, Autonomous vehicles, Control design, Feedback control, Real-time systems, Output feedback, robust set invariance BibRef

Aladem, M.[Mohamed], Rawashdeh, S.A.[Samir A.],
A Single-Stream Segmentation and Depth Prediction CNN for Autonomous Driving,
IEEE_Int_Sys(36), No. 4, July 2021, pp. 79-85.
IEEE DOI 2109
Task analysis, Semantics, Decoding, Feature extraction, Image segmentation, Computational modeling, Training, Semantic Scene Understanding BibRef

Su, S.J.[Shi-Jian], Dai, H.D.[Hou-De], Cheng, S.Y.[Shu-Ying], Chen, Z.C.[Zhi-Cong],
Improved Magnetic Guidance Approach for Automated Guided Vehicles by Error Analysis and Prior Knowledge,
ITS(22), No. 11, November 2021, pp. 6843-6852.
IEEE DOI 2112
Magnetometers, Sensor arrays, Magnetic sensors, Optimization, Magnetic moments, Magnetic guidance approach, automated guided vehicle (AGV) BibRef

Hu, X.M.[Xue-Min], Tang, B.[Bo], Chen, L.[Long], Song, S.[Sheng], Tong, X.[Xiuchi],
Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving,
ITS(22), No. 12, December 2021, pp. 7585-7596.
IEEE DOI 2112
Planning, Autonomous vehicles, Neural networks, Brakes, Learning systems, Training, Wheels, Motion planning, LSTM BibRef

Shi, X.P.[Xiu-Peng], Wong, Y.D.[Yiik Diew], Chai, C.[Chen], Li, M.Z.F.[Michael Zhi-Feng],
An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles,
ITS(22), No. 11, November 2021, pp. 7145-7154.
IEEE DOI 2112
Decision making, Feature extraction, Machine learning, Prediction algorithms, Pipelines, Bayes methods, Sensors, sensor configurations BibRef

Wirthmüller, F.[Florian], Schlechtriemen, J.[Julian], Hipp, J.[Jochen], Reichert, M.[Manfred],
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets,
ITS(22), No. 11, November 2021, pp. 7129-7144.
IEEE DOI 2112
Trajectory, Road transportation, Predictive models, Hidden Markov models, Systematics, Task analysis, Vehicles, mixture of experts BibRef

Sun, Y.X.[Yu-Xi], Zhang, C.R.[Cheng-Rui],
Efficient and Safe Robotic Autonomous Environment Exploration Using Integrated Frontier Detection and Multiple Path Evaluation,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Xiao, Y.[Yi], Codevilla, F.[Felipe], Gurram, A.[Akhil], Urfalioglu, O.[Onay], López, A.M.[Antonio M.],
Multimodal End-to-End Autonomous Driving,
ITS(23), No. 1, January 2022, pp. 537-547.
IEEE DOI 2201
Semantics, Task analysis, Laser radar, Autonomous vehicles, Cameras, Multimodal scene understanding, end-to-end autonomous driving, imitation learning BibRef

Wang, T.[Tinghan], Luo, Y.[Yugong], Liu, J.X.[Jin-Xin], Chen, R.[Rui], Li, K.Q.[Ke-Qiang],
End-to-End Self-Driving Approach Independent of Irrelevant Roadside Objects With Auto-Encoder,
ITS(23), No. 1, January 2022, pp. 641-650.
IEEE DOI 2201
Feature extraction, Training, Task analysis, Roads, Decision making, Autonomous vehicles, Neural networks, End-to-end self-driving, irrelevant features BibRef

Chen, G.[Guang], Wang, F.[Fa], Li, W.J.[Wei-Jun], Hong, L.[Lin], Conradt, J.[Jörg], Chen, J.N.[Jie-Neng], Zhang, Z.Y.[Zhen-Yan], Lu, Y.W.[Yi-Wen], Knoll, A.[Alois],
NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations,
ITS(23), No. 2, February 2022, pp. 1171-1183.
IEEE DOI 2202
Neuromorphics, Vision sensors, Intelligent sensors, Intelligent vehicles, Cameras, Neuromorphic vision, deep learning BibRef

Feng, S.[Shuo], Feng, Y.H.[Yi-Heng], Sun, H.[Haowei], Zhang, Y.[Yi], Liu, H.X.[Henry X.],
Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework,
ITS(23), No. 2, February 2022, pp. 1213-1222.
IEEE DOI 2202
Libraries, Testing, Estimation, Bayes methods, Optimization, Accidents, Indexes, Connected and automated vehicles, Bayesian optimization BibRef

Ni, Y.S.[Yu-Shu], Shivanna, V.M.[Vinay M.], Guo, J.I.[Jiun-In],
iVS Dataset and ezLabel: A Dataset and a Data Annotation Tool for Deep Learning Based ADAS Applications,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
Dataset for autonomous driving. BibRef

Milani, S.[Sina], Khayyam, H.[Hamid], Marzbani, H.[Hormoz], Melek, W.[William], Azad, N.L.[Nasser L.], Jazar, R.N.[Reza N.],
Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control,
ITS(23), No. 3, March 2022, pp. 1984-1995.
IEEE DOI 2203
Heuristic algorithms, Roads, Real-time systems, Vehicle dynamics, Automobiles, Autonomous vehicles, Mathematical model, real-time control BibRef

Wang, J.K.[Jian-Kun], Meng, M.Q.H.[Max Q.H.],
Real-Time Decision Making and Path Planning for Robotic Autonomous Luggage Trolley Collection at Airports,
SMCS(52), No. 4, April 2022, pp. 2174-2183.
IEEE DOI 2203
Robots, Real-time systems, Heuristic algorithms, Path planning, Airports, Decision making, Urban areas, Decision making, path planning BibRef

Chen, L.[Long], Hu, X.M.[Xue-Min], Tang, B.[Bo], Cheng, Y.[Yu],
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving,
ITS(23), No. 4, April 2022, pp. 2966-2977.
IEEE DOI 2204
Planning, Autonomous vehicles, Fuzzy logic, Roads, Learning (artificial intelligence), Turning, Wheels, fuzzy logic BibRef

Butt, M.A.[Muhammad Atif], Riaz, F.[Faisal],
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation,
SP:IC(104), 2022, pp. 116667.
Elsevier DOI 2204
Self-driving cars, Machine vision, Vehicle detection, Vehicle recognition, Scene segmentation, Deep neural networks BibRef

Khelladi, F.[Faïza], Boudali, M.[Mohamed], Orjuela, R.[Rodolfo], Cassaro, M.[Mario], Basset, M.[Michel], Roos, C.[Clément],
An Emergency Hierarchical Guidance Control Strategy for Autonomous Vehicles,
ITS(23), No. 5, May 2022, pp. 4319-4330.
IEEE DOI 2205
Steering systems, Wheels, Resource management, Mathematical model, Vehicle dynamics, Trajectory, Torque, Steering system failure, control allocation BibRef

Chen, T.Y.[Tian-Yang], Pu, F.L.[Fang-Ling], Chen, H.J.[Hong-Jia], Liu, Z.H.[Zhi-Hong],
WHUVID: A Large-Scale Stereo-IMU Dataset for Visual-Inertial Odometry and Autonomous Driving in Chinese Urban Scenarios,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Li, Y.J.[Yi-Jing], Tao, X.F.[Xiao-Feng], Zhang, X.F.[Xue-Fei], Liu, J.J.[Jun-Jie], Xu, J.[Jin],
Privacy-Preserved Federated Learning for Autonomous Driving,
ITS(23), No. 7, July 2022, pp. 8423-8434.
IEEE DOI 2207
Servers, Privacy, Autonomous vehicles, Blockchain, Data privacy, Collaborative work, Training, Autonomous driving, vehicular edge computing BibRef

Duan, J.L.[Jing-Liang], Yu, D.J.[Dong-Jie], Li, S.B.E.[Sheng-Bo Eben], Wang, W.X.[Wen-Xuan], Ren, Y.G.[Yan-Gang], Lin, Z.Y.[Zi-Yu], Cheng, B.[Bo],
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving,
ITS(23), No. 7, July 2022, pp. 9518-9528.
IEEE DOI 2207
Decision making, Autonomous vehicles, Sensitivity, Sorting, Encoding, Artificial neural networks, Task analysis, autonomous driving BibRef

Wurman, P.R.[Peter R.], Stone, P.[Peter], Spranger, M.[Michael],
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing,
IEEE_Int_Sys(37), No. 3, May 2022, pp. 20-23.
IEEE DOI 2208
Process control, Reinforcement learning, Games, Complexity theory, Intelligent systems, Autonomous vehicles BibRef

Zhang, N.[Ning], Nex, F.[Francesco], Vosselman, G.[George], Kerle, N.[Norman],
Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Roche, J.[Jamie], De-Silva, V.[Varuna], Kondoz, A.[Ahmet],
A Multimodal Perception-Driven Self Evolving Autonomous Ground Vehicle,
Cyber(52), No. 9, September 2022, pp. 9279-9289.
IEEE DOI 2208
Robot sensing systems, Cameras, Convolutional neural networks, Convolution, Acoustics, Optical sensors, Space vehicles, sensor data fusion BibRef

Xu, S.B.[Shao-Bing], Zidek, R.[Robert], Cao, Z.[Zhong], Lu, P.P.[Ping-Ping], Wang, X.P.[Xin-Peng], Li, B.Q.[Bo-Qi], Peng, H.[Huei],
System and Experiments of Model-Driven Motion Planning and Control for Autonomous Vehicles,
SMCS(52), No. 9, September 2022, pp. 5975-5988.
IEEE DOI 2208
Trajectory, Planning, Routing, Heuristic algorithms, Software algorithms, Roads, Autonomous vehicles, preview control BibRef

Li, K.Q.[Ke-Qiang], Xiong, H.[Hui], Liu, J.X.[Jin-Xin], Xu, Q.[Qing], Wang, J.Q.[Jian-Qiang],
Real-Time Monocular Joint Perception Network for Autonomous Driving,
ITS(23), No. 9, September 2022, pp. 15864-15877.
IEEE DOI 2209
Estimation, Feature extraction, Task analysis, Real-time systems, Object detection, Image reconstruction, 2D object detection, orientation estimation BibRef

Meng, Q.[Qian], Hsu, L.T.[Li-Ta],
Resilient Interactive Sensor-Independent-Update Fusion Navigation Method,
ITS(23), No. 9, September 2022, pp. 16433-16447.
IEEE DOI 2209
Multiple sensors give different info, combine them appropriately. Navigation, Reliability, Vehicle dynamics, Monitoring, Robustness, Heuristic algorithms, Estimation, Interactive multi-model, sensor selection BibRef

Anzalone, L.[Luca], Barra, P.[Paola], Barra, S.[Silvio], Castiglione, A.[Aniello], Nappi, M.[Michele],
An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios,
ITS(23), No. 10, October 2022, pp. 19817-19826.
IEEE DOI 2210
Autonomous vehicles, Training, Reinforcement learning, Task analysis, Planning, Vehicle dynamics, Autonomous driving, curriculum learning BibRef

Chance, G.[Greg], Ghobrial, A.[Abanoub], McAreavey, K.[Kevin], Lemaignan, S.[Séverin], Pipe, T.[Tony], Eder, K.[Kerstin],
On Determinism of Game Engines Used for Simulation-Based Autonomous Vehicle Verification,
ITS(23), No. 11, November 2022, pp. 20538-20552.
IEEE DOI 2212
Engines, Games, Testing, Autonomous vehicles, Data models, Simulation, Computational modeling, Autonomous driving, autonomous vehicles, testing BibRef

Lee, S.M.[Seong-Min], Son, H.[Hungsun],
Prediction-Based Preview Control of Motion Platform With Time Delay,
ITS(23), No. 12, December 2022, pp. 23346-23357.
IEEE DOI 2212
Delays, Delay effects, Trajectory, Tracking, Visualization, Couplings, Torque, Time delay, state prediction, preview control, motion platform BibRef

Cheng, S.[Shuo], Yang, B.[Bo], Wang, Z.[Zheng], Nakano, K.[Kimihiko],
Spatio-Temporal Image Representation and Deep-Learning-Based Decision Framework for Automated Vehicles,
ITS(23), No. 12, December 2022, pp. 24866-24875.
IEEE DOI 2212
Automobiles, Vehicles, Vehicle dynamics, Decision making, Dynamics, Image representation, Behavioral sciences, automated vehicles BibRef

Jiao, X.Y.[Xin-Yu], Chen, J.J.[Jun-Jie], Jiang, K.[Kun], Wang, Y.L.[Yun-Long], Cao, Z.[Zhong], Yang, M.M.[Meng-Meng], Yang, D.[Diange],
Reliable Autonomous Driving Environment Model With Unified State-Extended Boundary,
ITS(24), No. 1, January 2023, pp. 516-527.
IEEE DOI 2301
Vehicle dynamics, Semantics, Reliability, Dynamics, Autonomous vehicles, Roads, Robots, Autonomous driving, environment cognition BibRef

Yun, W.J.[Won Joon], Park, S.[Soohyun], Kim, J.[Joongheon], Mohaisen, D.[David],
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications,
ITS(24), No. 1, January 2023, pp. 885-890.
IEEE DOI 2301
Optical imaging, Object detection, Optical computing, Real-time systems, Autonomous vehicles, Estimation, Lyapunov optimization BibRef

Liu, Y.[Yang], Wang, Z.[Zihan], Peng, L.H.[Li-Hui], Xu, Q.[Qing], Li, K.Q.[Ke-Qiang],
A Detachable and Expansible Multisensor Data Fusion Model for Perception in Level 3 Autonomous Driving System,
ITS(24), No. 2, February 2023, pp. 1814-1827.
IEEE DOI 2302
Sensors, Sensor fusion, Radar, Data integration, Data models, Autonomous vehicles, Radar detection, Sensor data fusion, embedded system BibRef

Bairi, Z.[Zakaria], Ben-Ahmed, O.[Olfa], Amamra, A.[Abdenour], Bradai, A.[Abbas], Bey, K.B.[Kadda Beghdad],
PSCS-Net: Perception Optimized Image Reconstruction Network for Autonomous Driving Systems,
ITS(24), No. 2, February 2023, pp. 1564-1579.
IEEE DOI 2302
Image reconstruction, Image coding, Autonomous vehicles, Semantics, Visualization, Sensors, Task analysis, Image, autonomous vehicles, deep learning BibRef

Khan, M.J.[M. Jalal], Khan, M.A.[Manzoor Ahmed], Ullah, O.[Obaid], Malik, S.[Sumbal], Iqbal, F.[Farkhund], El-Sayed, H.[Hesham], Turaev, S.[Sherzod],
Augmenting CCAM Infrastructure for Creating Smart Roads and Enabling Autonomous Driving,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Xie, S.S.[Shan-Shan], Zheng, J.[Jingyue], Wang, J.Q.[Jian-Qiang],
Cognition-inspired behavioural feature identification and motion planning ways for human-like automated driving vehicles,
IET-ITS(17), No. 4, 2023, pp. 754-766.
DOI Link 2304
BibRef

Cai, J.L.[Jia-Lun], Huang, W.B.[Wei-Bo], You, Y.X.[Ying-Xuan], Chen, Z.[Zhan], Ren, B.[Bin], Liu, H.[Hong],
SPSD: Semantics and Deep Reinforcement Learning Based Motion Planning for Supermarket Robot,
IEICE(E106-D), No. 5, May 2023, pp. 765-772.
WWW Link. 2305
BibRef

Lin, Z.Y.[Zi-Yu], Ma, J.[Jun], Duan, J.L.[Jing-Liang], Li, S.E.[Shengbo Eben], Ma, H.[Haitong], Cheng, B.[Bo], Lee, T.H.[Tong Heng],
Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment,
ITS(24), No. 5, May 2023, pp. 5003-5013.
IEEE DOI 2305
Planning, Autonomous vehicles, Vehicle dynamics, Task analysis, Heuristic algorithms, Approximation algorithms, Roads, reinforcement learning BibRef

Hoel, C.J.[Carl-Johan], Wolff, K.[Krister], Laine, L.[Leo],
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning With Applications in Autonomous Driving,
ITS(24), No. 6, June 2023, pp. 6030-6041.
IEEE DOI 2306
Uncertainty, Autonomous vehicles, Training, Decision making, Reinforcement learning, Bayes methods, Neural networks, decision-making BibRef

Lian, B.[Bosen], Kartal, Y.[Yusuf], Lewis, F.L.[Frank L.], Mikulski, D.G.[Dariusz G.], Hudas, G.R.[Gregory R.], Wan, Y.[Yan], Davoudi, A.[Ali],
Anomaly Detection and Correction of Optimizing Autonomous Systems With Inverse Reinforcement Learning,
Cyber(53), No. 7, July 2023, pp. 4555-4566.
IEEE DOI 2307
Behavioral sciences, Linear programming, Autonomous systems, Anomaly detection, Optimal control, Training, optimizing autonomous systems BibRef

Stone, P.[Peter],
Designing Robots to Best World Cup Winners has Inspired Generations of Roboticists,
Spectrum(60), No. 7, July 2023, pp. 40-49.
IEEE DOI 2307
Humanoid robots, Human-robot interaction, Machine learning, Search problems, Mobile robots, Multi-agent systems BibRef

Peng, Y.F.[Yan-Fei], Tan, G.Z.[Guo-Zhen], Si, H.[Huaiwei],
HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning,
IET-ITS(17), No. 7, 2023, pp. 1302-1311.
DOI Link 2307
generative adversarial imitation learning, human knowledge, policy shaping, reinforcement learning BibRef

Zhu, B.[Bing], Sun, Y.H.[Yu-Hang], Zhao, J.[Jian], Han, J.Y.[Jia-Yi], Zhang, P.X.[Pei-Xing], Fan, T.X.[Tian-Xin],
A Critical Scenario Search Method for Intelligent Vehicle Testing Based on the Social Cognitive Optimization Algorithm,
ITS(24), No. 8, August 2023, pp. 7974-7986.
IEEE DOI 2308
Testing, Intelligent vehicles, Optimization, Search methods, Clustering algorithms, Concrete, Software algorithms, social cognitive optimization BibRef

Liu, M.[Mushuang], Kolmanovsky, I.[Ilya], Tseng, H.E.[H. Eric], Huang, S.[Suzhou], Filev, D.[Dimitar], Girard, A.[Anouck],
Potential Game-Based Decision-Making for Autonomous Driving,
ITS(24), No. 8, August 2023, pp. 8014-8027.
IEEE DOI 2308
Games, Autonomous vehicles, Decision making, Cost function, Vehicle dynamics, Heuristic algorithms, Finite element analysis, predictive control BibRef

Zhou, W.T.[Wei-Tao], Cao, Z.[Zhong], Deng, N.[Nanshan], Jiang, K.[Kun], Yang, D.[Diange],
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving,
ITS(24), No. 8, August 2023, pp. 7932-7942.
IEEE DOI 2308
Uncertainty, Training data, Reinforcement learning, Training, Fitting, Neural networks, Closed box, Autonomous driving, trajectory planning BibRef

Du, G.D.[Guo-Dong], Zou, Y.[Yuan], Zhang, X.D.[Xu-Dong], Li, Z.[Zirui], Liu, Q.[Qi],
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control,
ITS(24), No. 8, August 2023, pp. 8304-8323.
IEEE DOI 2308
Planning, Tracking, Autonomous vehicles, Prediction algorithms, Heuristic algorithms, Real-time systems, Reinforcement learning, reinforcement learning based predictive control BibRef

Wu, J.[Jingda], Zhou, Y.X.[Yan-Xin], Yang, H.H.[Hao-Han], Huang, Z.[Zhiyu], Lv, C.[Chen],
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation,
PAMI(45), No. 12, December 2023, pp. 14745-14759.
IEEE DOI 2311
BibRef

Liu, H.Q.[Hua-Qing], Zheng, S.T.[Shi-Teng], Jiang, R.[Rui], Tian, J.F.[Jun-Fang], Yan, R.D.[Rui-Dong], Zhang, F.[Fang], Zhang, D.Z.[De-Zhao],
Experimental Study and Modeling of the Lower-Level Controller of Automated Vehicle,
ITS(24), No. 11, November 2023, pp. 11733-11742.
IEEE DOI 2311
BibRef

Sun, G.[Guoyi], Xu, Q.[Qian], Zhang, G.Y.[Guang-Yuan], Qu, T.[Tengteng], Cheng, C.Q.[Cheng-Qi], Deng, H.J.[Hao-Jiang],
An Intelligent UAV Path-Planning Method Based on the Theory of the Three-Dimensional Subdivision of Earth Space,
IJGI(12), No. 10, 2023, pp. 397.
DOI Link 2311
BibRef

Dong, X.[Xili], Shi, C.G.[Chen-Guang], Wen, W.[Wen], Zhou, J.J.[Jian-Jiang],
Multi-Mission Oriented Joint Optimization of Task Assignment and Flight Path Planning for Heterogeneous UAV Cluster,
RS(15), No. 22, 2023, pp. 5315.
DOI Link 2311
BibRef

Fu, Y.C.[Yu-Chuan], Li, C.L.[Chang-La], Yu, F.R.[F. Richard], Luan, T.H.[Tom H.], Zhao, P.[Pincan],
An Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving,
ITS(24), No. 12, December 2023, pp. 14800-14812.
IEEE DOI 2312
BibRef

Xu, J.[Jing], Cai, C.H.[Chen-Hao], Niu, Y.G.[Yu-Gang], Lam, H.K.[Hak-Keung],
Genetic-Algorithm-Assisted Self-Scheduled Multidelay PIR Control: Experiments in a Car-Like Vehicle System,
Cyber(54), No. 1, January 2024, pp. 39-49.
IEEE DOI 2312
BibRef

Yan, Y.[Yan], Yu, S.H.[Shuang-He], Gao, X.M.[Xiao-Mei], Wu, D.F.[De-Feng], Li, T.S.[Tie-Shan],
Continuous and Periodic Event-Triggered Sliding-Mode Control for Path Following of Underactuated Surface Vehicles,
Cyber(54), No. 1, January 2024, pp. 449-461.
IEEE DOI 2312
BibRef

Huang, Y.J.[Yan-Jun], Yang, S.[Shuo], Wang, L.W.[Li-Wen], Yuan, K.[Kang], Zheng, H.Y.[Hong-Yu], Chen, H.[Hong],
An Efficient Self-Evolution Method of Autonomous Driving for Any Given Algorithm,
ITS(25), No. 1, January 2024, pp. 602-612.
IEEE DOI 2402
Reinforcement learning, Optimization, Autonomous vehicles, Computational modeling, Deep learning, Decision making, policy improvement BibRef

Pan, M.[Minting], Zhu, X.M.[Xiang-Ming], Zheng, Y.[Yitao], Wang, Y.[Yunbo], Yang, X.K.[Xiao-Kang],
Model-Based Reinforcement Learning With Isolated Imaginations,
PAMI(46), No. 5, May 2024, pp. 2788-2803.
IEEE DOI 2404
Vehicle dynamics, Behavioral sciences, Visualization, Training, Heuristic algorithms, Transfer learning, Decision making, world model BibRef

Liu, G.M.[Guang-Ming], Liu, Y.G.[Yong-Gui], Xie, X.H.[Xu-Huan],
Consensus of Linear Discrete-Time Connected Autonomous Vehicle Systems With Time Delays and Multiplicative Noise,
ITS(25), No. 5, May 2024, pp. 3523-3534.
IEEE DOI 2405
Delay effects, Delays, Sufficient conditions, Protocols, Stability criteria, Network topology, Stochastic processes, predictor-like control protocols BibRef

Jiang, Y.X.[Yu-Xuan], Zhan, G.J.[Guo-Jian], Lan, Z.[Zhiqian], Liu, C.[Chang], Cheng, B.[Bo], Li, S.E.[Shengbo Eben],
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios,
ITS(25), No. 5, May 2024, pp. 4335-4345.
IEEE DOI 2405
Roads, Autonomous vehicles, Heuristic algorithms, Benchmark testing, Libraries, Vehicle dynamics, reinforcement learning BibRef

Qazani, M.R.C.[Mohammad Reza Chalak], Asadi, H.[Houshyar], Zakarya, M.[Muhammad], Lim, C.P.[Chee Peng], Liew, A.W.C.[Alan Wee-Chung], Karkoub, M.[Mansour], Nahavandi, S.[Saeid],
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios,
ITS(25), No. 6, June 2024, pp. 5112-5121.
IEEE DOI 2406
Mathematical models, Artificial neural networks, Filtering algorithms, Optimization, Computational modeling, parallel processing BibRef

Yu, B.[Bo], Gao, K.[Kun], Cheng, Z.[Zeyang], Chen, Y.[Yuren], Yue, L.[Lishengsa],
A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method,
ITS(25), No. 7, July 2024, pp. 8171-8180.
IEEE DOI 2407
Roads, Deep learning, Visual perception, Visualization, Feature extraction, Kernel, Data models, neuron-triggered method BibRef

Jia, W.[Wei], Lu, Z.J.[Zhao-Jun], Yu, R.[Runze], Li, L.[Liaoyuan], Zhang, H.[Haichun], Liu, Z.[Zhenglin], Qu, G.[Gang],
Fooling Decision-Based Black-Box Automotive Vision Perception Systems in Physical World,
ITS(25), No. 7, July 2024, pp. 7081-7092.
IEEE DOI 2407
Closed box, Glass box, Optimization, Machine vision, Robustness, Cameras, Autonomous vehicles, Vision perception, black-box attacks, autonomous vehicles BibRef

Hong, Z.M.[Zhi-Ming], Lin, Q.[Qing], Hu, B.[Bo],
Knowledge Distillation-Based Edge-Decision Hierarchies for Interactive Behavior-Aware Planning in Autonomous Driving System,
ITS(25), No. 9, September 2024, pp. 11040-11057.
IEEE DOI 2409
Planning, Task analysis, Autonomous vehicles, Real-time systems, Trajectory, Intelligent transportation systems, Cloud computing, hierarchy decisions BibRef

Echterhoff, J.[Jessica], Yan, A.[An], Han, K.T.[Kyung-Tae], Abdelraouf, A.[Amr], Gupta, R.[Rohit], McAuley, J.[Julian],
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving,
WACV24(7331-7340)
IEEE DOI 2404
Visualization, Uncertainty, Process control, Machine learning, Linguistics, Predictive models, Transformers, Applications, ethical computer vision BibRef

Song, J.X.[Jia-Xin], Bing, L.[Li], Dong, Z.X.[Zhao-Xiang], Han, H.[Huiting], Hou, Y.C.[Yong-Chao], Wei, Y.L.[Yu-Lan],
Research on image preprocessing and target detection of vehicle-machine cooperative system,
CVIDL23(5-8)
IEEE DOI 2403
Robot competitions. Image recognition, Image color analysis, Target recognition, Shape, Robot kinematics, Robot vision systems, Interference, Image gray processing BibRef

Jiang, B.[Bo], Chen, S.[Shaoyu], Xu, Q.[Qing], Liao, B.[Bencheng], Chen, J.J.[Jia-Jie], Zhou, H.[Helong], Zhang, Q.[Qian], Liu, W.Y.[Wen-Yu], Huang, C.[Chang], Wang, X.G.[Xing-Gang],
VAD: Vectorized Scene Representation for Efficient Autonomous Driving,
ICCV23(8306-8316)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhu, P.F.[Peng-Fei], Qi, M.S.[Meng-Shi], Li, X.[Xia], Li, W.J.[Wei-Jian], Ma, H.D.[Hua-Dong],
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding,
ICCV23(8524-8534)
IEEE DOI Code:
WWW Link. 2401
BibRef

Huang, Z.Y.[Zhi-Yu], Liu, H.C.[Hao-Chen], Lv, C.[Chen],
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving,
ICCV23(3880-3890)
IEEE DOI Code:
WWW Link. 2401
BibRef

Simons, C.[Cody], Raychaudhuri, D.S.[Dripta S.], Ahmed, S.M.[Sk Miraj], You, S.[Suya], Karydis, K.[Konstantinos], Roy-Chowdhury, A.K.[Amit K.],
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets,
ICCV23(1239-1249)
IEEE DOI Code:
WWW Link. 2401
BibRef

Jia, X.S.[Xiao-Song], Gao, Y.[Yulu], Chen, L.[Li], Yan, J.C.[Jun-Chi], Liu, P.L.[Patrick Langechuan], Li, H.Y.[Hong-Yang],
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving,
ICCV23(7919-7929)
IEEE DOI 2401
BibRef

Singh, A.[Apoorv],
Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey,
ROAD++23(3235-3244)
IEEE DOI 2401
BibRef

Shao, H.[Hao], Wang, L.[Letian], Chen, R.[Ruobing], Waslander, S.L.[Steven L.], Li, H.S.[Hong-Sheng], Liu, Y.[Yu],
ReasonNet: End-to-End Driving with Temporal and Global Reasoning,
CVPR23(13723-13733)
IEEE DOI 2309
BibRef

Jia, X.S.[Xiao-Song], Wu, P.H.[Peng-Hao], Chen, L.[Li], Xie, J.W.[Jiang-Wei], He, C.H.[Cong-Hui], Yan, J.C.[Jun-Chi], Li, H.Y.[Hong-Yang],
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving,
CVPR23(21983-21994)
IEEE DOI 2309
BibRef

Liang, X.[Xiwen], Niu, M.Z.[Min-Zhe], Han, J.H.[Jian-Hua], Xu, H.[Hang], Xu, C.J.[Chun-Jing], Liang, X.D.[Xiao-Dan],
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving,
CVPR23(9611-9621)
IEEE DOI 2309
BibRef

Xiong, X.[Xuan], Liu, Y.C.[Yi-Cheng], Yuan, T.Y.[Tian-Yuan], Wang, Y.[Yue], Wang, Y.L.[Yi-Lun], Zhao, H.[Hang],
Neural Map Prior for Autonomous Driving,
CVPR23(17535-17544)
IEEE DOI 2309
BibRef

Hu, Y.[Yihan], Yang, J.Z.[Jia-Zhi], Chen, L.[Li], Li, K.Y.[Ke-Yu], Sima, C.[Chonghao], Zhu, X.[Xizhou], Chai, S.Q.[Si-Qi], Du, S.[Senyao], Lin, T.W.[Tian-Wei], Wang, W.H.[Wen-Hai], Lu, L.W.[Le-Wei], Jia, X.S.[Xiao-Song], Liu, Q.[Qiang], Dai, J.F.[Ji-Feng], Qiao, Y.[Yu], Li, H.Y.[Hong-Yang],
Planning-oriented Autonomous Driving,
CVPR23(17853-17862)
IEEE DOI 2309
Award, CVPR. BibRef

Uchiyama, J.[Jun], Hashimoto, T.[Tomoyuki], Ohta, H.[Hina], Lin, J.Y.[Jia-Yeu], Cosentino, S.[Sarah], Takanishi, A.[Atsuo],
A Humanoid Saxophone-playing Robot Based on Instrument-centered Design,
VAMR23(295-306).
Springer DOI 2307
BibRef

Rajic, F.[Frano],
Robustness of Embodied Point Navigation Agents,
NavigatePose22(193-204).
Springer DOI
WWW Link. 2304
BibRef

Miron, Y.[Yakov], Goldfracht, Y.[Yuval], di Castro, D.[Dotan],
Towards Autonomous Grading in the Real World,
SelfLearnDrive22(107-117).
Springer DOI 2304
BibRef

Hu, S.C.[Sheng-Chao], Chen, L.[Li], Wu, P.H.[Peng-Hao], Li, H.Y.[Hong-Yang], Yan, J.C.[Jun-Chi], Tao, D.C.[Da-Cheng],
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning,
ECCV22(XXXVIII:533-549).
Springer DOI 2211
BibRef

Zhang, C.[Chris], Guo, R.S.[Run-Sheng], Zeng, W.Y.[Wen-Yuan], Xiong, Y.[Yuwen], Dai, B.B.[Bin-Bin], Hu, R.[Rui], Ren, M.[Mengye], Urtasun, R.[Raquel],
Rethinking Closed-Loop Training for Autonomous Driving,
ECCV22(XXIX:264-282).
Springer DOI 2211
BibRef

Zhang, S.[Sixian], Li, W.J.[Wei-Jie], Song, X.H.[Xin-Hang], Bai, Y.B.[Yu-Bing], Jiang, S.Q.[Shu-Qiang],
Generative Meta-Adversarial Network for Unseen Object Navigation,
ECCV22(XXIX:301-320).
Springer DOI 2211
BibRef

Bergler, M.[Matthias], Kolagari, R.T.[Ramin Tavakoli], Lundqvist, K.[Kristina],
Case Study on the Use of the SafeML Approach in Training Autonomous Driving Vehicles,
CIAP22(III:87-97).
Springer DOI 2205
BibRef

Canedo, D.[Daniel], Fonseca, P.[Pedro], Georgieva, P.[Petia], Neves, A.J.R.[António J. R.],
An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5,
IbPRIA22(378-389).
Springer DOI 2205
BibRef

Das, S.[Soumi], Patibandla, H.[Harikrishna], Bhattacharya, S.[Suparna], Bera, K.[Kshounis], Ganguly, N.[Niloy], Bhattacharya, S.[Sourangshu],
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving,
ICCV21(6321-6330)
IEEE DOI 2203
Training, Current measurement, Affordances, Semantics, Convex functions, Task analysis, Vision for robotics and autonomous vehicles BibRef

Chen, D.[Dian], Koltun, V.[Vladlen], Krähenbühl, P.[Philipp],
Learning to drive from a world on rails,
ICCV21(15570-15579)
IEEE DOI 2203
Rails, Training, Navigation, Computational modeling, Reinforcement learning, Benchmark testing, Mathematical models, BibRef

Schön, M.[Markus], Buchholz, M.[Michael], Dietmayer, K.[Klaus],
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving,
ICCV21(15784-15795)
IEEE DOI 2203
Point cloud compression, Solid modeling, Video sequences, Semantics, Estimation, Cameras, BibRef

Huang, T.E.[Thomas E.], Liu, Y.F.[Yi-Fan], Van Gool, L.J.[Luc J.], Yu, F.[Fisher],
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving,
ICCV23(8613-8623)
IEEE DOI 2401
BibRef

Zhang, Z.J.[Zhe-Jun], Liniger, A.[Alexander], Dai, D.X.[Deng-Xin], Yu, F.[Fisher], Van Gool, L.J.[Luc J.],
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach,
ICCV21(15202-15212)
IEEE DOI 2203
Photorealism, Roads, Reinforcement learning, Benchmark testing, Cameras, Autonomous vehicles, Vision applications and systems BibRef

Anzalone, L.[Luca], Barra, S.[Silvio], Nappi, M.[Michele],
Reinforced Curriculum Learning for Autonomous Driving in Carla,
ICIP21(3318-3322)
IEEE DOI 2201
Image processing, Reinforcement learning, Companies, Proposals, Autonomous vehicles, Meteorology, Autonomous Urban Driving, CARLA, Curriculum Learning BibRef

Chipka, J.[Jordan], Zeng, S.[Shuqing], Elvitigala, T.[Thanura], Mudalige, P.[Priyantha],
A Computer Vision-Based Attention Generator using DQN,
AVVision21(2942-2950)
IEEE DOI 2112
High res sensing for vehicles. Costs, Power demand, Drives, Sensor systems, Generators BibRef

Bogdoll, D.[Daniel], Breitenstein, J.[Jasmin], Heidecker, F.[Florian], Bieshaar, M.[Maarten], Sick, B.[Bernhard], Fingscheidt, T.[Tim], Zöllner, J.M.[J. Marius],
Description of Corner Cases in Automated Driving: Goals and Challenges,
ERCVAD21(1023-1028)
IEEE DOI 2112
Taxonomy, Knowledge based systems, Machine learning, Data collection BibRef

Gautam, S.[Shivam], Meyer, G.P.[Gregory P.], Vallespi-Gonzalez, C.[Carlos], Becker, B.C.[Brian C.],
DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles,
AVVision21(3012-3021)
IEEE DOI 2112
Training, Tracking, Navigation, Roads, Urban areas, Filtering algorithms, Real-time systems BibRef

Gannamaneni, S.[Sujan], Houben, S.[Sebastian], Akila, M.[Maram],
Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA,
ERCVAD21(1006-1014)
IEEE DOI 2112
Training, Image resolution, Image color analysis, Annotations, Semantics, Training data BibRef

Kong, Q.[Qi], Zhang, L.L.[Liang-Liang], Xu, X.[Xin],
Constrained Policy Optimization Algorithm for Autonomous Driving via Reinforcement Learning,
ICIVC21(378-383)
IEEE DOI 2112
Geometry, Roads, Neural networks, Reinforcement learning, Markov processes, Sensors, Task analysis, reinforcement learning, constrained policy optimization BibRef

Al Nuaimi, A.[Alia], Alnaqbi, D.[Dhuha], Khan, M.A.[Manzoor Ahmed], Al Shams, S.[Shamma], Al Nuaimi, S.[Shouq], Khan, J.[Jalal], El Sayed, H.[Hesham],
Smart Campus Mobility: From Concept to Realization,
ICIVC21(486-491)
IEEE DOI 2112
Solution design, Databases, Urban areas, Transportation, Planning, Stakeholders, Autonomous vehicles, Smart Campus Mobility, Scheudling BibRef

Jaques, M.[Miguel], Burke, M.[Michael], Hospedales, T.M.[Timothy M.],
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces,
CVPR21(4452-4461)
IEEE DOI 2111
Visualization, Proportional control, Cloning, Switches, Aerospace electronics, Planning BibRef

Chen, Y.[Yun], Rong, F.[Frieda], Duggal, S.[Shivam], Wang, S.L.[Shen-Long], Yan, X.C.[Xin-Chen], Manivasagam, S.[Sivabalan], Xue, S.J.[Shang-Jie], Yumer, E.[Ersin], Urtasun, R.[Raquel],
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving,
CVPR21(7226-7236)
IEEE DOI 2111
Geometry, Image segmentation, Solid modeling, Visualization, Semantics, Manuals BibRef

Prakash, A.[Aditya], Chitta, K.[Kashyap], Geiger, A.[Andreas],
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving,
CVPR21(7073-7083)
IEEE DOI 2111
Laser radar, Object detection, Sensor fusion, Transformers, Sensors, Pattern recognition BibRef

Luo, C.X.[Chen-Xu], Yang, X.D.[Xiao-Dong], Yuille, A.L.[Alan L.],
Self-Supervised Pillar Motion Learning for Autonomous Driving,
CVPR21(3182-3191)
IEEE DOI 2111
Motion estimation, Dynamics, Training data, Data collection, Probabilistic logic, Cameras BibRef

Ishihara, K.[Keishi], Kanervisto, A.[Anssi], Miura, J.[Jun], Hautamäki, V.[Ville],
Multi-task Learning with Attention for End-to-end Autonomous Driving,
WAD21(2896-2905)
IEEE DOI 2109
Training, Visualization, Benchmark testing, Pattern recognition, Automobiles, Reliability, Task analysis BibRef

Gharaee, Z.[Zahra], Holmquist, K.[Karl], He, L.[Linbo], Felsberg, M.[Michael],
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control,
ICPR21(3947-3954)
IEEE DOI 2105
Training, Image segmentation, Uncertainty, Semantics, Urban areas, Reinforcement learning, Benchmark testing, Bayesian method BibRef

Zhou, H.L.[Hong-Li], Chen, X.L.[Xiao-Lei], Zhang, G.[Guanwen], Zhou, W.[Wei],
Deep Reinforcement Learning for Autonomous Driving by Transferring Visual Features,
ICPR21(4436-4441)
IEEE DOI 2105
Training, Visualization, Reinforcement learning, Feature extraction, Pattern recognition, Task analysis, Autonomous vehicles BibRef

Maanpää, J.[Jyri], Taher, J.[Josef], Manninen, P.[Petri], Pakola, L.[Leo], Melekhov, I.[Iaroslav], Hyyppä, J.[Juha],
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions,
ICPR21(699-706)
IEEE DOI 2105
Reflectivity, Laser radar, Roads, Snow, Wheels, Training data, Sensor fusion BibRef

Kim, I.[Inhan], Lee, H.[Hyemin], Lee, J.[Joonyeong], Lee, E.[Eunseop], Kim, D.J.[Dai-Jin],
Multi-task Learning with Future States for Vision-based Autonomous Driving,
ACCV20(III:654-669).
Springer DOI 2103
BibRef

Liu, H.[Hao], Li, D.[Dong], Peng, J.[JinZhang], Zhao, Q.J.[Qing-Jie], Tian, L.[Lu], Shan, Y.[Yi],
Mtnas: Search Multi-task Networks for Autonomous Driving,
ACCV20(III:670-687).
Springer DOI 2103
BibRef

Yu, T., Liu, Z., Rong, Z., Wang, Y., Wang, J., Gou, S., Li, L., Wan, W., He, X., Di, K., Ke, R., Zhang, K., You, Y.,
Implementation Strategy of Visible and Near-infrared Imaging Spectrometer on Yutu-2 Rover Based on Vision Measurement Technology,
ISPRS20(B3:1191-1197).
DOI Link 2012
BibRef

Löhdefink, J.[Jonas], Fehrling, J.[Justin], Klingner, M.[Marvin], Hüger, F.[Fabian], Schlicht, P.[Peter], Schmidt, N.M.[Nico M.], Fingscheidt, T.[Tim],
Self-Supervised Domain Mismatch Estimation for Autonomous Perception,
SAIAD20(1359-1368)
IEEE DOI 2008
Semantics, Image segmentation, Measurement, Estimation, Kernel, Convolutional codes, Training BibRef

Oh, G.[Geunseob], Valois, J.S.[Jean-Sébastien],
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting,
CVPR20(14538-14547)
IEEE DOI 2008
Computational modeling, Task analysis, Mathematical model, Data models, Neural networks, Forecasting BibRef

Zhang, J.Y.[Jimu-Yang], Ohn-Bar, E.[Eshed],
Learning by Watching,
CVPR21(12706-12716)
IEEE DOI 2111
Instruments, Current measurement, Training data, Benchmark testing, Pattern recognition, Noise measurement BibRef

Ohn-Bar, E., Prakash, A., Behl, A., Chitta, K., Geiger, A.,
Learning Situational Driving,
CVPR20(11293-11302)
IEEE DOI 2008
Task analysis, Cloning, Training, Visualization, Optimization, Context modeling, Cognition BibRef

Yu, F.[Fisher], Chen, H.F.[Hao-Feng], Wang, X.[Xin], Xian, W.Q.[Wen-Qi], Chen, Y.Y.[Ying-Ying], Liu, F.C.[Fang-Chen], Madhavan, V.[Vashisht], Darrell, T.J.[Trevor J.],
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning,
CVPR20(2633-2642)
IEEE DOI 2008

WWW Link. Dataset, Road Scenes. Task analysis, Visualization, Roads, Image segmentation, Meteorology, Training, Benchmark testing BibRef

Kim, J., Bansal, M.,
Attentional Bottleneck: Towards an Interpretable Deep Driving Network,
SAIAD20(1310-1313)
IEEE DOI 2008
Visualization, Encoding, Generators, Neural networks, Computer architecture, Roads BibRef

Johnson, F., Dana, K.,
Feudal Steering: Hierarchical Learning for Steering Angle Prediction,
AutoDrive20(4316-4325)
IEEE DOI 2008
Algorithms, Task analysis, Learning (artificial intelligence), Autonomous vehicles, Games, Predictive models, Training BibRef

Cai, S., Wan, Y.,
Topometric Imitation Learning For Route Following Under Appearance Change,
AutoDrive20(4354-4362)
IEEE DOI 2008
Navigation, Measurement, Autonomous vehicles, Simultaneous localization and mapping, Rain, Lighting BibRef

Cultrera, L., Seidenari, L., Becattini, F., Pala, P., del Bimbo, A.,
Explaining Autonomous Driving by Learning End-to-End Visual Attention,
SAIAD20(1389-1398)
IEEE DOI 2008
Autonomous vehicles, Visualization, Feature extraction, Task analysis, Sensors, Semantics, Computational modeling BibRef

Kong, Z., Guo, J., Li, A., Liu, C.,
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving,
CVPR20(14242-14251)
IEEE DOI 2008
Autonomous vehicles, Feature extraction, Generators, Tensile stress, Perturbation methods BibRef

Prakash, A., Behl, A., Ohn-Bar, E., Chitta, K., Geiger, A.,
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving,
CVPR20(11760-11770)
IEEE DOI 2008
Training, Autonomous vehicles, Task analysis, Data aggregation, Uncertainty, Trajectory, Supervised learning BibRef

Pal, A., Mondal, S., Christensen, H.I.,
'Looking at the Right Stuff': Guided Semantic-Gaze for Autonomous Driving,
CVPR20(11880-11889)
IEEE DOI 2008
Semantics, Automobiles, Prediction algorithms, Training, Predictive models, Autonomous vehicles BibRef

Toromanoff, M., Wirbel, E., Moutarde, F.,
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances,
CVPR20(7151-7160)
IEEE DOI 2008
Task analysis, Automobiles, Autonomous vehicles, Cameras, Training, Games BibRef

Xu, Y., Yang, X., Gong, L., Lin, H., Wu, T., Li, Y., Vasconcelos, N.,
Explainable Object-Induced Action Decision for Autonomous Vehicles,
CVPR20(9520-9529)
IEEE DOI 2008
Autonomous vehicles, Automobiles, Cognition, Visualization, Turning, Task analysis BibRef

Lee, C., Lee, H., Hwang, I., Zhang, B.,
Spatial Perception by Object-Aware Visual Scene Representation,
DeepSLAM19(3751-3758)
IEEE DOI 2004
cameras, feature extraction, mobile robots, robot vision, SLAM (robots), SLAM, 3D maps, tracking-failure reduction, mobile robots BibRef

Nunes, A.[Afonso], Figueiredo, R.[Rui], Moreno, P.[Plinio],
Learning to Perform Visual Tasks from Human Demonstrations,
IbPRIA19(II:346-358).
Springer DOI 1910
BibRef

Chen, Y., Praveen, P., Priyantha, M., Muelling, K., Dolan, J.,
Learning On-Road Visual Control for Self-Driving Vehicles With Auxiliary Tasks,
WACV19(331-338)
IEEE DOI 1904
convolutional neural nets, image recognition, image segmentation, image sequences, navigation, road vehicles, self-driving vehicles, Kinematics BibRef

Heylen2, J.[Jonas], Iven, S.[Seppe], de Brabandere, B.[Bert], Oramas Mogrovejo, J.A.[Jose A.], Van Gool, L.J.[Luc J.], Tuytelaars, T.[Tinne],
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks,
WACV18(606-615)
IEEE DOI 1806
automobiles, cameras, image colour analysis, learning (artificial intelligence), mean square error methods, Training BibRef

Li, Y., Wang, J., Xing, T., Liu, T., Li, C., Su, K.,
TAD16K: An enhanced benchmark for autonomous driving,
ICIP17(2344-2348)
IEEE DOI 1803
Autonomous vehicles, Benchmark testing, Cameras, Neural networks, Object detection, Task analysis, Training, Object detection BibRef

Fernando, T., Denman, S., Sridharan, S.[Sridha], Fookes, C.[Clinton],
Going Deeper: Autonomous Steering with Neural Memory Networks,
CVRoads17(214-221)
IEEE DOI 1802
Autonomous vehicles, Memory architecture, Neural networks, Planning, Trajectory, Visualization BibRef

Perot, E., Jaritz, M., Toromanoff, M., de Charette, R.[Robert],
End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning,
DeepLearnRV17(474-475)
IEEE DOI 1709
Automobiles, Computer architecture, Games, Learning (artificial intelligence), Physics, Roads, Training BibRef

Pathak, D., Agrawal, P., Efros, A.A., Darrell, T.J.,
Curiosity-Driven Exploration by Self-Supervised Prediction,
DeepLearnRV17(488-489)
IEEE DOI 1709
Adaptation models, Encoding, Learning (artificial intelligence), Neural networks, Predictive models, Training BibRef

Chen, W.P.[Wan-Pei], Wu, M.Y.[Mao-You], Chen, J.[Jun], Yuan, J.[Jiang], Chen, Y.Y.[Yi-Yang], Qiao, Y.T.[Yan-Ting],
Research on auto-calibration technology of intelligent vehicle camera based on machine vision,
ICIVC17(684-687)
IEEE DOI 1708
Calibration, Cameras, Reliability, Roads, automatic calibration, camera calibration, machine vision, trilinear, method BibRef

Taukeer, R., Das, G., Nath, A., Paul, A., Ahamed, J.U.,
Design and fabrication of a teleoperated explorer mobile robot,
IVPR17(1-6)
IEEE DOI 1704
Gas detectors BibRef

Fathollahi, M.[Mona], Kasturi, R.[Rangachar],
Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern,
MotionRep16(III: 40-46).
Springer DOI 1611
BibRef

Khaghani, M., Skaloud, J.,
Autonomous Navigation of Small UAVS Based on Vehicle Dynamic Model,
EuroCOW16(xx-yy).
DOI Link 1605
BibRef

Kim, K.[Kyungnam], Huber, D.J.[David J.], Xu, J.J.[Jie-Jun], Khosla, D.[Deepak],
Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors,
ISVC15(I: 419-431).
Springer DOI 1601
BibRef

Xu, J.J.[Jie-Jun], Kim, K.[Kyungnam], Zhang, L.[Lei], Khosla, D.[Deepak],
3D Perception for Autonomous Robot Exploration,
ISVC15(I: 888-900).
Springer DOI 1601
BibRef

de Meyst, O.[Olivier], Goethals, T.[Thijs], Balta, H.[Haris], de Cubber, G.[Geert], Haelterman, R.[Rob],
Autonomous Guidance for a UAS Along a Staircase,
ISVC15(I: 466-475).
Springer DOI 1601
BibRef

Zhou, G.[Guyue], Fang, L.[Lu], Tang, K.[Ketan], Zhang, H.H.[Hong-Hui], Wang, K.[Kai], Yang, K.[Kang],
Guidance: A visual sensing platform for robotic applications,
ECVW15(9-14)
IEEE DOI 1510
Cameras BibRef

Ayala-Raggi, S.E.[Salvador E.], de Jesús González, P.[Pedro], Sánchez-Urrieta, S.[Susana], Barreto-Flores, A.[Aldrin],
A Simple View-Based Software Architecture for an Autonomous Robot Navigation System,
ICIAR15(287-296).
Springer DOI 1507
BibRef

Delgado-Galvan, J.[Julio], Navarro-Ramirez, A.[Alberto], Nunez-Varela, J.[Jose], Puente-Montejano, C.[Cesar], Martinez-Perez, F.[Francisco],
Vision-Based Humanoid Robot Navigation in a Featureless Environment,
MCPR15(169-178).
Springer DOI 1506
BibRef

Ostafew, C.J.[Chris J.], Schoellig, A.P.[Angela P.], Barfoot, T.D.[Timothy D.], Collier, J.[Jack],
Speed Daemon: Experience-Based Mobile Robot Speed Scheduling,
CRV14(56-62)
IEEE DOI 1406
Acceleration BibRef

Franke, U., Pfeiffer, D., Rabe, C., Knoeppel, C., Enzweiler, M., Stein, F., Herrtwich, R.G.,
Making Bertha See,
AutoDrive13(214-221)
IEEE DOI 1403
image sensors BibRef

Zhang, H.Y.[Hong-Yi], Geiger, A.[Andreas], Urtasun, R.[Raquel],
Understanding High-Level Semantics by Modeling Traffic Patterns,
ICCV13(3056-3063)
IEEE DOI 1403
for autonomous driving. BibRef

Berczi, L.P.[Laszlo-Peter], Gammell, J.D.[Jonathan D.], Tong, C.H.[Chi Hay], Daly, M.[Michael], Barfoot, T.D.[Timothy D.],
A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars,
CRV13(29-36)
IEEE DOI 1308
Extraterrestrial measurements BibRef

Giguere, P.[Philippe], Girdhar, Y.[Yogesh], Dudek, G.[Gregory],
Wide-Speed Autopilot System for a Swimming Hexapod Robot,
CRV13(9-15)
IEEE DOI 1308
Attitude control BibRef

Kosuge, K.,
iCART: Intelligent Cooperative Autonomous Robot Transporters,
ICARCV12(12).
IEEE DOI 1304
BibRef

Lei, Y.A.[Yi An], Chu, Z.Y.[Zhong-Yi], Ren, S.Y.[Shan-Yong], Li, D.[Dan],
Dynamic modeling and robust adaptive control of a deployable manipulator,
ICARCV12(512-517).
IEEE DOI 1304
Space craft manipulators. BibRef

Li, Y.H.[Yun-Hua], He, L.Y.[Liu-Yu], Yang, L.M.[Li-Man],
Coordinated and optimal acceleration and deceleration driving control for multi-axle hydrostatic driving vehicle,
ICARCV12(524-529).
IEEE DOI 1304
BibRef

Dandach, H., Abdallah, F., de Miras, J., Charara, A.,
Vehicle dynamics estimation using Box Particle Filter,
ICARCV12(118-123).
IEEE DOI 1304
BibRef

Sivaraj, D., Kandaswamy, A., Vetrivel, S.,
Development of navigation system for autonomous vehicle,
IMVIP12(161-164).
IEEE DOI 1302
BibRef

Schulze, M.,
Image-Based Navigation of Forest Harvesters,
ISPRS12(XXXIX-B3:59-62).
DOI Link 1209
BibRef

Tsang, E.[Emily], Ong, S.C.W.[Sylvie C.W.], Pineau, J.[Joelle],
Design and Evaluation of a Flexible Interface for Spatial Navigation,
CRV12(353-360).
IEEE DOI 1207
graphical interfaces. BibRef

Leary, S.[Stephen], Deittert, M.[Markus], Bookless, J.[John],
Constrained UAV mission planning: A comparison of approaches,
CVVT11(2002-2009).
IEEE DOI 1201
BibRef

Zhenghuan, Qu, S.C.[Shao-Cheng],
Design on self-balancing and track-searching cart,
IASP11(586-589).
IEEE DOI 1112
BibRef

León, A.[Adrián], Morales, E.F.[Eduardo F.], Altamirano, L.[Leopoldo], Ruiz, J.R.[Jaime R.],
Teaching a Robot to Perform Task through Imitation and On-line Feedback,
CIARP11(549-556).
Springer DOI 1111
BibRef

Diem, T.X.P.[Tran Xuan Phuoc], Pasquier, M.,
From operational to tactical driving: A hybrid learning approach for autonomous vehicles,
ICARCV08(285-290).
IEEE DOI 1109
BibRef

Hutchinson, S.[Seth],
Vision-Based Control of Robot Motion,
CIARP10(3).
Springer DOI 1011
BibRef

Pugeault, N.[Nicolas], Bowden, R.[Richard],
Driving me around the bend: Learning to drive from visual gist,
RobPerc11(1022-1029).
IEEE DOI 1201
BibRef
Earlier:
Learning Pre-attentive Driving Behaviour from Holistic Visual Features,
ECCV10(VI: 154-167).
Springer DOI 1009
Associate human driver actions with visual inputs. BibRef

Tsai, M.L.[Meng-Lun], Chiang, K.W.[Kai-Wei], Huang, Y.W.[Yun-Wen], Lin, Y.S.[Yen-Shan], Tsai, J.S.[Ji-Shin], Lo, C.F.[Cheng-Fang], Lin, Y.S.[Yi-Shiang], Wu, C.H.[Chang-Huei],
The development of a direct georeferencing ready UAV based photogrammetry platform,
CGC10(68).
PDF File. 1006
BibRef

Se, S.[Stephen], Nadeau, C.[Christian],
Automated UAV-based video exploitation for mapping and monitoring,
CGC10(174).
PDF File. 1006
BibRef

Barazzetti, L.[Luigi], Mussio, L., Remondino, F.[Fabio], Scaioni, M.[Marco],
Targetless Camera Calibration,
3DARCH11(xx-yy).
PDF File. 1103
BibRef

Barazzetti, L.[Luigi], Remondino, F.[Fabio], Scaioni, M.[Marco],
Automated and Accurate Orientation of Complex Image Sequences,
3DARCH11(xx-yy).
PDF File. 1103
BibRef

Scaioni, M.[Marco], Barazzetti, L.[Luigi], Brumana, R.[Raffaella], Remondino, F.[Fabio],
Fully automatic UAVs image-based sensor orientation,
CGC10(75).
PDF File. 1006
BibRef

Niu, X.J.[Xiao-Ji], Zhang, H.P.[Hong-Ping], Chiang, K.W.[Kai-Wei], El-Sheimy, N.[Naser],
Using land-vehicle steering constraint to improve the heading estimation of MEMS GPS/INS georeferencing systems,
CGC10(137).
PDF File. 1006
BibRef

Mulac, B.[Brenda], Reuder, J.[Joachim],
Supporting the use of unmanned aircraft systems (UAS) for global science observations in civil and segregated airspace,
CGC10(96).
PDF File. 1006
BibRef

Schulze, M.,
3d-camera Based Navigation Of A Mobile Robot In An Agricultural Environment,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Clark, A., Woods, J.C., Oechsle, O.,
A Low-cost Airborne Platform For Ecological Monitoring,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Singh, S.[Shawn], Kapadia, M.[Mubbasir], Faloutsos, P.[Petros], Reinman, G.[Glenn],
An Open Framework for Developing, Evaluating, and Sharing Steering Algorithms,
MIG09(158-169).
Springer DOI 0911
BibRef

Zhang, Y.J.[Yi-Jiang], Pettré, J.[Julien], Peng, Q.S.[Qun-Sheng], Donikian, S.[Stéphane],
Data Based Steering of Virtual Human Using a Velocity-Space Approach,
MIG09(170-181).
Springer DOI 0911
BibRef

Gupta, O.K.[Om K.], Jarvis, R.A.[Ray A.],
Using a Virtual World to Design a Simulation Platform for Vision and Robotic Systems,
ISVC09(I: 233-242).
Springer DOI 0911
BibRef

Ma, M.C.[Meng-Chao], Li, Y.X.[Yong-Xin], Liu, A.F.[An-Fang], Han, C.Y.[Chang-Yu], Hu, C.[Chao],
Progress of Instantaneity in Real-Time ROBOCUP Vision System,
CISP09(1-4).
IEEE DOI 0910
BibRef

Li, X.H.[Xian-Hua], Tan, S.L.[Shi-Li], Huang, W.X.[Wu-Xin],
A Household Service Robot with Two Arms and Multi-Sensor in Unstructured Environments,
CISP09(1-5).
IEEE DOI 0910
BibRef

Effertz, J.[Jan],
Sensor Architecture and Data Fusion for Robotic Perception in Urban Environments at the 2007 DARPA Urban Challenge,
RobVis08(275-290).
Springer DOI 0802
BibRef

Berger, K.[Kai], Lipski, C.[Christian], Linz, C.[Christian], Stich, T.[Timo], Magnor, M.[Marcus],
The Area Processing Unit of Caroline: Finding the Way through DARPA's Urban Challenge,
RobVis08(260-274).
Springer DOI 0802
BibRef

Matías, P.M.[Pedro Moreno], Gil, J.G.[Jaime Gómez],
Automatic Guidance of a Tractor Using Computer Vision,
PReMI07(169-176).
Springer DOI 0712
BibRef

King, C.[Christopher], Palathingal, X.[Xavier], Nicolescu, M.[Monica], Nicolescu, M.[Mircea],
A Control Architecture for Long-Term Autonomy of Robotic Assistants,
ISVC07(I: 375-384).
Springer DOI 0711
BibRef

Šegvic, S.[Siniša], Remazeilles, A.[Anthony], Diosi, A.[Albert], Chaumette, F.[François],
A Framework for Scalable Vision-Only Navigation,
ACIVS07(1-12).
Springer DOI 0708
BibRef

Ryoo, Y.J.[Young-Jae],
Computer Vision Technology for Vehicular Robot to Follow Guided Track Using Neuro-Fuzzy System,
RV15(167-178).
Springer DOI 1603
BibRef
And:
Image Technology for Camera-Based Automatic Guided Vehicle,
PSIVT06(1225-1233).
Springer DOI 0612
BibRef

Srinivasan, M.V., Thurrowgood, S., Soccol, D.,
An Optical System for Guidance of Terrain Following in UAVs,
AVSBS06(51-51).
IEEE DOI 0611
BibRef

Wang, H.K.[Hua-Kun], Zu, L.[Li], Yue, F.[Feng],
Neural networks-based terrain acquisition of unmarked area for robot mowers,
ICARCV04(I: 735-740).
IEEE DOI 0412
BibRef

Saniee, M., Habibi, J.,
A fuzzy ranking method for automated highway driving,
IVS04(218-221).
IEEE DOI 0411
BibRef

Behringer, R., Muller, N.,
Autonomous Road Vehicle Guidance from Autobahnen to Narrow Curves,
RA(14), No. 5, October 1998, pp. 810-815. 9810
BibRef

Behringer, R., Sundareswaran, S., Gregory, B., Elsley, R., Addison, B., Guthmiller, W., Daily, R., Bevly, D.,
The DARPA grand challenge: Development of an Autonomous Vehicle,
IVS04(226-231).
IEEE DOI 0411
BibRef

Blum, S.A.[Stefan A.],
From a CORBA-Based Software Framework to a Component-Based System Architecture for Controlling a Mobile Robot,
CVS03(333 ff).
Springer DOI 0306
BibRef

Chung, D.[Daesu], Hirata, R.[Reid], Nathan Mundhenk, T., Ng, J.[Jen], Peters, R.J.[Rob J.], Pichon, E.[Eric], Tsui, A.[April], Ventrice, T.[Tong], Walther, D.B.[Dirk B.], Williams, P.[Philip], Itti, L.[Laurent],
A New Robotics Platform for Neuromorphic Vision: Beobots,
BMCV02(558 ff.).
Springer DOI 0303
BibRef

Zufferey, J.C.[Jean-Christophe], Floreano, D.[Dario], van Leeuwen, M.[Matthijs], Merenda, T.[Tancredi],
Evolving Vision-Based Flying Robots,
BMCV02(592 ff.).
Springer DOI 0303
BibRef

Krödel, M., Kuhnert, K.D.,
Reinforcement Learning to Drive a Car by Pattern Matching,
DAGM02(322 ff.).
Springer DOI 0303
BibRef

Kuhnert, K.D.,
Fusing dynamic vision and landmark navigation for autonomous driving,
IROS90(I: 113-119). BibRef 9000

Chella, A., Vitabile, S., Sorbello, R.,
A vision agent for mobile robot navigation in time-variable environments,
CIAP01(559-564).
IEEE DOI 0210
BibRef

Chen, S.P.[Shou-Pu], Cahill, N.D., Ray, L.A.,
A practical approach to creating environment maps using digital images,
ICIP02(III: 869-872).
IEEE DOI 0210
BibRef

Baudry, A., Bungenstock, M., Mertsching, B.,
Architecture of a 3D-simulation environment for active vision systems and mobile robots,
3DPVT02(198-201).
IEEE DOI 0206
BibRef

Coradeschi, S.[Silvia], Karlsson, L.[Lars], Nordberg, K.[Klas],
Integration of Vision and Decision-Making in an Autonomous Airborne Vehicle for Traffic Surveillance,
CVS99(216 ff.).
Springer DOI 0209
BibRef

Maganto, A., Menendez, J., Salgado, L., Rendon, E., Garcia, N.,
A Monocular Vision System for Autonomous Vehicle Guidance,
ICIP00(Vol I: 236-239).
IEEE DOI 0008
BibRef

Lorei, M.[Marcus], Stiller, C.[Christoph],
Visual Sensing in Electronic Truck Coupling,
ICIP99(II:303-307).
IEEE DOI BibRef 9900

Tavanti, C., Devars, J.,
Enhanced Vision for the Teleoperator of an All-terrain Fast Mobile Robot,
MVA98(xx-yy). BibRef 9800

Huntsberger, T.L., Kubota, T., Rose, J.,
Integrated Vision/control System for Autonomous Planetary Rovers,
MVA98(xx-yy). BibRef 9800

Peters, M.W., Sowmya, A.,
Integrated Techniques for Self-organisation, Sampling, Habituation, and Motion-tracking in Visual Robotics Applications,
MVA98(xx-yy). BibRef 9800

Salgian, G.[Garbis], and Ballard, D.H.[Dana H.],
Visual Routines for Autonomous Driving,
ICCV98(876-882).
IEEE DOI BibRef 9800

Fischer, V.,
A Parallel Any-Time Control Algorithm for Image Understanding,
ICPR96(I: 141-145).
IEEE DOI 9608
(Univ. Erlangen, D) BibRef

Garibotto, G., Ilic, M., Masciangelo, S.,
Vision-based navigation in service robotics,
CIAP95(313-318).
Springer DOI 9509
BibRef

von Seelen, W., Janssen, H.,
Structural Principles in Visually Guided Autonomous Vehicles,
ICPR92(I:302-311).
IEEE DOI BibRef 9200

Paar, G., Polzleitner, W.,
Robust Disparity Estimation in Terrain Modeling for Spacecraft Navigation,
ICPR92(I:738-741).
IEEE DOI BibRef 9200

Robert, L.[Luc], Vaillant, R.[Régis], Schmitt, M.[Michel],
3D-vision-based robot navigation: First steps,
ECCV90(236-240).
Springer DOI 9004
BibRef

Trivedi, M.M.,
Designing Vision Systems for Robotic Applications,
SPIE(xx), Critical Reviews of Applications of Electronic Imaging, Los Angeles, CA, January 1989, pp. 106-115. BibRef 8901

Rosenfeld, A., Davis, L.S., Waxman, A.M.,
Vision for Autonomous Navigation,
CAIA84(140-141). BibRef 8400

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Aerial Autonomous Vehicles, Drones, Rotorcraft .

Last update:Sep 28, 2024 at 17:47:54