Driggs-Campbell, K.,
Govindarajan, V.,
Bajcsy, R.,
Integrating Intuitive Driver Models in Autonomous Planning for
Interactive Maneuvers,
ITS(18), No. 12, December 2017, pp. 3461-3472.
IEEE DOI
1712
Adaptation models, Autonomous vehicles, Planning,
Predictive models, Roads, Trajectory, Autonomous vehicles,
trajectory optimization
BibRef
Parra-Alonso, I.,
Izquierdo-Gonzalo, R.,
Alonso, J.,
Garcia-Morcillo, Á.,
Fernandez-Llorca, D.,
Sotelo, M.Á.,
The Experience of DRIVERTIVE-DRIVERless cooperaTIve VEhicle-Team in
the 2016 GCDC,
ITS(19), No. 4, April 2018, pp. 1322-1334.
IEEE DOI
1804
Acceleration, Automation, Automobiles, Brakes, DC motors, Merging,
Cooperative systems, automatization, autonomous vehicles, control
BibRef
Dolk, V.,
Ouden, J.d.,
Steeghs, S.,
Devanesan, J.G.,
Badshah, I.,
Sudhakaran, A.,
Elferink, K.,
Chakraborty, D.,
Cooperative Automated Driving for Various Traffic Scenarios:
Experimental Validation in the GCDC 2016,
ITS(19), No. 4, April 2018, pp. 1308-1321.
IEEE DOI
1804
Hardware, Merging, Protocols, Roads,
Cooperative automated driving, GCDC, automated highway systems,
vehicle platooning
BibRef
Benderius, O.,
Berger, C.,
Lundgren, V.M.[V. Malmsten],
The Best Rated Human-Machine Interface Design for Autonomous
Vehicles in the 2016 Grand Cooperative Driving Challenge,
ITS(19), No. 4, April 2018, pp. 1302-1307.
IEEE DOI
1804
Autonomous vehicles, Bars, Legislation, Roads, Safety, Wheels,
Human-machine interface, autonomous autonomous, external interface
BibRef
Makantasis, K.[Konstantinos],
Kontorinaki, M.[Maria],
Nikolos, I.[Ioannis],
Deep reinforcement-learning-based driving policy for autonomous road
vehicles,
IET-ITS(14), No. 1, January 2020, pp. 13-24.
DOI Link
2001
BibRef
Payalan, Y.F.,
Guvensan, M.A.,
Towards Next-Generation Vehicles Featuring the Vehicle Intelligence,
ITS(21), No. 1, January 2020, pp. 30-47.
IEEE DOI
2001
Next generation networking, Safety, Automobiles,
Autonomous vehicles, Accidents, Self-driving,
contexts and sensors for autonomous vehicle
BibRef
Tang, C.,
Xu, Z.,
Tomizuka, M.,
Disturbance-Observer-Based Tracking Controller for Neural Network
Driving Policy Transfer,
ITS(21), No. 9, September 2020, pp. 3961-3972.
IEEE DOI
2008
Robustness, Neural networks, Autonomous vehicles, Trajectory,
Task analysis, Adaptation models, Target tracking,
machine learning
BibRef
Li, Y.C.[Yao-Chen],
Wu, X.[Xiao],
Lu, D.H.[Dan-Hui],
Li, L.[Ling],
Liu, Y.H.[Yue-Hu],
Zhu, L.[Li],
Style Transfer of Urban Road Images Using Generative Adversarial
Networks With Structural Details,
MultMedMag(27), No. 3, July 2020, pp. 54-65.
IEEE DOI
2009
Driving style.
Semantics, Image segmentation, Generators, Roads, Unmanned vehicles,
Training data, Image reconstruction
BibRef
El Khatib, A.,
Ou, C.,
Karray, F.,
Driver Inattention Detection in the Context of Next-Generation
Autonomous Vehicles Design: A Survey,
ITS(21), No. 11, November 2020, pp. 4483-4496.
IEEE DOI
2011
Vehicles, Automation, Task analysis, Accidents, Monitoring,
Visualization, Vehicle dynamics, Autonomous vehicles, vehicle safety
BibRef
Fernando, T.,
Denman, S.,
Sridharan, S.,
Fookes, C.,
Deep Inverse Reinforcement Learning for Behavior Prediction in
Autonomous Driving: Accurate Forecasts of Vehicle Motion,
SPMag(38), No. 1, January 2021, pp. 87-96.
IEEE DOI
2012
Deep learning, Navigation, Supervised learning, Decision making,
Focusing, Reinforcement learning, Autonomous vehicles
BibRef
Hang, P.,
Lv, C.,
Xing, Y.,
Huang, C.,
Hu, Z.,
Human-Like Decision Making for Autonomous Driving:
A Noncooperative Game Theoretic Approach,
ITS(22), No. 4, April 2021, pp. 2076-2087.
IEEE DOI
2104
Decision making, Vehicles, Games, Safety, Planning, Predictive models,
Nash equilibrium, Decision making, human-like, autonomous vehicle,
model predictive control
BibRef
Nagahama, A.[Akihito],
Saito, T.[Takahiro],
Wada, T.[Takahiro],
Sonoda, K.[Kohei],
Autonomous Driving Learning Preference of Collision Avoidance
Maneuvers,
ITS(22), No. 9, September 2021, pp. 5624-5634.
IEEE DOI
2109
Trajectory, Mathematical model, Autonomous vehicles,
Collision avoidance, Roads, Torque, Autonomous driving, authority transfer
BibRef
Xu, D.H.[Dong-Hao],
Ding, Z.Z.[Zhe-Zhang],
He, X.[Xu],
Zhao, H.J.[Hui-Jing],
Moze, M.[Mathieu],
Aioun, F.[François],
Guillemard, F.[Franck],
Learning From Naturalistic Driving Data for Human-Like Autonomous
Highway Driving,
ITS(22), No. 12, December 2021, pp. 7341-7354.
IEEE DOI
2112
Trajectory, Planning, Cost function, Autonomous vehicles, Robots,
Automobiles, Autonomous vehicles, motion planning
BibRef
Seet, M.[Manuel],
Harvy, J.[Jonathan],
Bose, R.[Rohit],
Dragomir, A.[Andrei],
Bezerianos, A.[Anastasios],
Thakor, N.[Nitish],
Differential Impact of Autonomous Vehicle Malfunctions on Human Trust,
ITS(23), No. 1, January 2022, pp. 548-557.
IEEE DOI
2201
Junctions, Automation, Electroencephalography, Autonomous vehicles,
Monitoring, Brain modeling, Human factors,
electroencephalography
BibRef
Tian, Y.T.[Yan-Tao],
Cao, X.H.[Xuan-Hao],
Huang, K.[Kai],
Fei, C.[Cong],
Zheng, Z.[Zhu],
Ji, X.W.[Xue-Wu],
Learning to Drive Like Human Beings: A Method Based on Deep
Reinforcement Learning,
ITS(23), No. 7, July 2022, pp. 6357-6367.
IEEE DOI
2207
Autonomous vehicles, Reinforcement learning, Task analysis, Wheels,
Roads, Mathematical model, Markov processes, Autonomous driving,
reinforcement learning
BibRef
Azadani, M.N.[Mozhgan Nasr],
Boukerche, A.[Azzedine],
Driving Behavior Analysis Guidelines for Intelligent Transportation
Systems,
ITS(23), No. 7, July 2022, pp. 6027-6045.
IEEE DOI
2207
Vehicles, Sensors, Smart phones, Global Positioning System,
Sensor fusion, Laser radar, Automobiles, Driving style, survey
BibRef
He, B.T.[Bao-Tian],
Li, Y.B.[Yi-Bing],
Multi-future Transformer: Learning diverse interaction modes for
behaviour prediction in autonomous driving,
IET-ITS(16), No. 9, 2022, pp. 1249-1267.
DOI Link
2208
BibRef
Huang, Z.Y.[Zhi-Yu],
Wu, J.D.[Jing-Da],
Lv, C.[Chen],
Driving Behavior Modeling Using Naturalistic Human Driving Data With
Inverse Reinforcement Learning,
ITS(23), No. 8, August 2022, pp. 10239-10251.
IEEE DOI
2208
Trajectory, Vehicles, Entropy, Decision making, Predictive models,
Hidden Markov models, Task analysis, Driving behavior modeling,
interaction awareness
BibRef
Huang, Z.Y.[Zhi-Yu],
Liu, H.C.[Hao-Chen],
Wu, J.D.[Jing-Da],
Lv, C.[Chen],
Conditional Predictive Behavior Planning With Inverse Reinforcement
Learning for Human-Like Autonomous Driving,
ITS(24), No. 7, July 2023, pp. 7244-7258.
IEEE DOI
2307
Behavioral sciences, Trajectory, Predictive models, Planning,
Proposals, Autonomous vehicles, Reinforcement learning,
inverse reinforcement learning
BibRef
Fu, Y.C.[Yu-Chuan],
Li, C.L.[Chang-Le],
Yu, F.R.[F. Richard],
Luan, T.H.[Tom H.],
Zhang, Y.[Yao],
Hybrid Autonomous Driving Guidance Strategy Combining Deep
Reinforcement Learning and Expert System,
ITS(23), No. 8, August 2022, pp. 11273-11286.
IEEE DOI
2208
Autonomous vehicles, Decision making, Blockchains, Planning,
Adaptation models, Roads, Expert systems, Autonomous driving,
vehicular blockchain
BibRef
Fu, Y.C.[Yu-Chuan],
Li, C.L.[Chang-Le],
Yu, F.R.[F. Richard],
Luan, T.H.[Tom H.],
Zhang, Y.[Yao],
A Selective Federated Reinforcement Learning Strategy for Autonomous
Driving,
ITS(24), No. 2, February 2023, pp. 1655-1668.
IEEE DOI
2302
Autonomous vehicles, Adaptation models, Reinforcement learning,
Computational modeling, Data models, Training, Task analysis,
knowledge aggregation
BibRef
Bhattacharyya, R.[Raunak],
Jung, S.[Soyeon],
Kruse, L.A.[Liam A.],
Senanayake, R.[Ransalu],
Kochenderfer, M.J.[Mykel J.],
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling
Through Particle Filtering,
ITS(23), No. 8, August 2022, pp. 13055-13068.
IEEE DOI
2208
Vehicles, Data models, Merging, Mathematical models,
Autonomous vehicles, Trajectory, Task analysis,
particle filters
BibRef
Zhu, Z.[Zeyu],
Zhao, H.J.[Hui-Jing],
A Survey of Deep RL and IL for Autonomous Driving Policy Learning,
ITS(23), No. 9, September 2022, pp. 14043-14065.
IEEE DOI
2209
Task analysis, Reinforcement learning, Planning, Taxonomy, Safety,
Autonomous vehicles, Uncertainty, Deep reinforcement learning,
autonomous driving policy
BibRef
Szoke, L.[Laszlo],
Aradi, S.[Szilárd],
Bécsi, T.[Tamás],
Gáspár, P.[Péter],
Skills to Drive: Successor Features for Autonomous Highway Pilot,
ITS(23), No. 10, October 2022, pp. 18707-18718.
IEEE DOI
2210
Task analysis, Road transportation, Reinforcement learning,
Autonomous vehicles, Training, Technological innovation, successor features
BibRef
Toghi, B.[Behrad],
Valiente, R.[Rodolfo],
Sadigh, D.[Dorsa],
Pedarsani, R.[Ramtin],
Fallah, Y.P.[Yaser P.],
Social Coordination and Altruism in Autonomous Driving,
ITS(23), No. 12, December 2022, pp. 24791-24804.
IEEE DOI
2212
Behavioral sciences, Vehicles, Safety, Games, Training, Navigation,
Decision making, Cooperative driving, social navigation,
multi-agent reinforcement learning
BibRef
Eraqi, H.M.[Hesham M.],
Moustafa, M.N.[Mohamed N.],
Honer, J.[Jens],
Dynamic Conditional Imitation Learning for Autonomous Driving,
ITS(23), No. 12, December 2022, pp. 22988-23001.
IEEE DOI
2212
Roads, Laser radar, Autonomous vehicles, Cameras, Planning, Navigation,
Meteorology, Autonomous driving, occupancy grid mapping,
road blockages avoidance
BibRef
Wang, R.[Rui],
Xu, J.F.[Jin-Feng],
Liu, J.[Jia],
Wu, D.[Di],
Hao, Y.X.[Yi-Xue],
Li, X.Z.[Xian-Zhi],
Chen, M.[Min],
TIF: Trajectory and Information Flow Coupling Mechanism for Behavior
Analysis in Autonomous Driving,
ITS(23), No. 12, December 2022, pp. 25216-25225.
IEEE DOI
2212
Behavioral sciences, Sensors, Fabrics, Couplings, Trajectory,
Intelligent sensors, Motion segmentation, Behavior analysis, motion pattern
BibRef
Bhattacharyya, R.[Raunak],
Wulfe, B.[Blake],
Phillips, D.J.[Derek J.],
Kuefler, A.[Alex],
Morton, J.[Jeremy],
Senanayake, R.[Ransalu],
Kochenderfer, M.J.[Mykel J.],
Modeling Human Driving Behavior Through Generative Adversarial
Imitation Learning,
ITS(24), No. 3, March 2023, pp. 2874-2887.
IEEE DOI
2303
Behavioral sciences, Cost function, Trajectory, Costs, Vehicles,
Mathematical models, Computational modeling, Autonomous driving,
reinforcement learning
BibRef
Feng, Y.C.[Yu-Chao],
Hua, W.[Wei],
Sun, Y.X.[Yu-Xiang],
NLE-DM: Natural-Language Explanations for Decision Making of
Autonomous Driving Based on Semantic Scene Understanding,
ITS(24), No. 9, September 2023, pp. 9780-9791.
IEEE DOI
2310
BibRef
Li, Z.N.[Zhao-Ning],
Jiang, Q.[Qiaoli],
Wu, Z.M.[Zheng-Ming],
Liu, A.[Anqi],
Wu, H.Y.[Hai-Yan],
Huang, M.[Miner],
Huang, K.[Kai],
Ku, Y.X.[Yi-Xuan],
Towards Human-Compatible Autonomous Car: A Study of Non-Verbal Turing
Test in Automated Driving With Affective Transition Modelling,
AffCom(15), No. 2, April 2024, pp. 478-492.
IEEE DOI
2406
Vehicles, Artificial intelligence, Automobiles, Psychology,
Computational modeling, Roads, Signal detection,
signal detection theory (SDT)
BibRef
Queiroz, R.[Rodrigo],
Sharma, D.[Divit],
Caldas, R.[Ricardo],
Czarnecki, K.[Krzysztof],
García, S.[Sergio],
Berger, T.[Thorsten],
Pelliccione, P.[Patrizio],
A Driver-Vehicle Model for ADS Scenario-Based Testing,
ITS(25), No. 8, August 2024, pp. 8641-8654.
IEEE DOI
2408
Testing, Roads, Trajectory, Vehicles, Vehicle dynamics, Scalability, DSL,
Intelligent vehicles, autonomous vehicles, autonomous driving, road traffic
BibRef
Tang, C.[Chen],
Srishankar, N.[Nishan],
Martin, S.[Sujitha],
Tomizuka, M.[Masayoshi],
Grounded Relational Inference:
Domain Knowledge Driven Explainable Autonomous Driving,
ITS(25), No. 9, September 2024, pp. 10617-10635.
IEEE DOI
2409
Atmospheric modeling, Semantics, Autonomous vehicles, Trajectory,
Graph neural networks, Decoding, driving behavior modeling
BibRef
Zhao, C.Y.[Chen-Yang],
Chu, D.[Duanfeng],
Deng, Z.[Zejian],
Lu, L.P.[Li-Ping],
Human-Like Decision Making for Autonomous Driving With Social Skills,
ITS(25), No. 9, September 2024, pp. 12269-12284.
IEEE DOI
2409
Autonomous vehicles, Vehicles, Games, Behavioral sciences,
Uncertainty, Trajectory, Game theory, Autonomous driving,
stackelberg game theory
BibRef
Wu, J.D.[Jing-Da],
Yang, H.H.[Hao-Han],
Yang, L.[Lie],
Huang, Y.[Yi],
He, X.K.[Xiang-Kun],
Lv, C.[Chen],
Human-Guided Deep Reinforcement Learning for Optimal Decision Making
of Autonomous Vehicles,
SMCS(54), No. 11, November 2024, pp. 6595-6609.
IEEE DOI Code:
WWW Link.
2410
Decision making, Training, Behavioral sciences, Autonomous vehicles,
Task analysis, Safety, Navigation, human guidance
BibRef
You, J.W.[Jun-Wei],
Chen, Y.[Ying],
Jiang, Z.Y.[Zhuo-Yu],
Liu, Z.C.[Zhang-Chi],
Huang, Z.L.[Zi-Lin],
Ding, Y.F.[Yi-Feng],
Ran, B.[Bin],
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian
Angular Field Vision Transformer,
ITS(25), No. 11, November 2024, pp. 17493-17504.
IEEE DOI
2411
Vehicles, Data models, Trajectory, Time series analysis,
Autonomous vehicles, Transformers, Accidents.
BibRef
Liu, Y.[Yiru],
Zhao, X.C.[Xiao-Cong],
Tian, Y.[Ye],
Sun, J.[Jian],
Sociality Probe: Game-Theoretic Inverse Reinforcement Learning for
Modeling and Quantifying Social Patterns in Driving Interaction,
ITS(25), No. 12, December 2024, pp. 20841-20853.
IEEE DOI
2412
Vehicles, Behavioral sciences, Analytical models,
Autonomous vehicles, Trajectory, Roads, Game theory, reward function
BibRef
Shi, R.[Rui],
Li, T.X.[Tian-Xing],
Yamaguchi, Y.S.[Yasu-Shi],
Zhang, L.G.[Li-Guo],
Exploring Decision Shifts in Autonomous Driving With
Attribution-Guided Visualization,
ITS(26), No. 3, March 2025, pp. 4165-4177.
IEEE DOI
2503
Visualization, Autonomous vehicles, Decision making, Optimization,
Computational modeling, Generators, Data visualization,
generative adversarial networks
BibRef
Shi, R.[Rui],
Li, T.X.[Tian-Xing],
Yamaguchi, Y.S.[Yasu-Shi],
Zhang, L.G.[Li-Guo],
Traffic Scene-Informed Attribution of Autonomous Driving Decisions,
ITS(26), No. 7, July 2025, pp. 9175-9186.
IEEE DOI
2507
Computational modeling, Autonomous vehicles, Decision making,
Biological system modeling, Adaptation models, Predictive models,
explainable artificial intelligence
BibRef
Gao, Z.H.[Zhen-Hai],
Yu, T.[Tong],
Sun, T.J.[Tian-Jun],
Hu, H.Y.[Hong-Yu],
Liu, D.[Dayu],
Gao, F.[Fei],
Zhao, R.[Rui],
Intention-Inspired Recognition and Quantification for Driver
Interactions in Traffic Flows,
ITS(26), No. 9, September 2025, pp. 13822-13837.
IEEE DOI
2510
Vehicles, Roads, Autonomous vehicles, Solid modeling,
Mathematical models, Immune system, Driver behavior,
computational social experiments
BibRef
Zhang, Y.R.[Yi-Ran],
Hu, Z.X.[Zhong-Xu],
Yang, H.H.[Hao-Han],
Lou, S.[Shanhe],
Lv, C.[Chen],
A Planner-Agnostic Monitor for Behaviour Feasibility of Autonomous
Vehicles Using a Bayesian Discriminator,
ITS(26), No. 10, October 2025, pp. 17096-17109.
IEEE DOI
2511
Monitoring, Planning, Uncertainty, Autonomous vehicles, Bayes methods,
Training, Robustness, Roads, Prediction algorithms, planner-agnostic monitor
BibRef
Marín, A.L.[Andrés L.],
Martínez-Plumed, F.[Fernando],
Ramírez-Quintana, M.J.[María José],
Mattas, K.[Konstantinos],
Fontaras, G.[Georgios],
Kouvelas, A.[Anastasios],
Makridis, M.A.[Michail A.],
Human or Machine: A Novel Deep Learning Framework for Autonomous
Driver Identification Based on Vehicle Trajectories,
ITS(27), No. 1, January 2026, pp. 1388-1399.
IEEE DOI
2601
Vehicles, Trajectory, Autonomous vehicles, Deep learning,
Driver behavior, Diffusion tensor imaging, vehicle trajectories
BibRef
Li, Z.[Zhuoren],
Leng, B.[Bo],
Xiong, L.[Lu],
Eichberger, A.[Arno],
Huang, C.[Chao],
Hu, J.[Jia],
Safety-Enhanced Deep Reinforcement Learning for Autonomous Driving:
Dare to Make Mistakes to Learn Better and Faster,
ITS(27), No. 5, May 2026, pp. 5136-5148.
IEEE DOI
2605
Safety, Planning, Training, Autonomous vehicles, Convergence, Driver behavior,
Deep reinforcement learning, Vehicle dynamics, risk evaluation
BibRef
Li, G.[Guofa],
Wang, Y.C.[Ying-Chen],
Ouyang, D.[Delin],
Li, J.[Jie],
Ren, X.Y.[Xiang-Yun],
Reinforcement Learning for Driving Policy Generalization via
Risk-Aware Expert Policy and Conditional Diffusion,
ITS(27), No. 5, May 2026, pp. 6050-6062.
IEEE DOI
2605
Decision making, Training, Autonomous vehicles, Safety, Reliability,
Diffusion models, Reinforcement learning, Vehicle dynamics, pioritized replay
BibRef
Qi, G.[Geqi],
Dong, Z.T.[Zhen-Tao],
Guan, W.[Wei],
Huang, A.L.[Ai-Ling],
An, Y.[Ya'ning],
Human-Machine Fitness While Driving: Evaluating Human Acceptance of
Autonomous Driving Styles Through EEG Signal Analysis,
HMS(56), No. 3, June 2026, pp. 636-649.
IEEE DOI
2606
Finite impulse response filters, Oscillators, Biomimetics,
human-machine fitness
BibRef
Zuo, F.[Fuhao],
Li, X.[Xia],
Liu, B.[Benxue],
A Motion Planning Control Strategy for Autonomous Vehicles
Considering Driving Style Personalization and Optimal Energy
Consumption,
ITS(27), No. 9, September 2026, pp. 10576-10590.
IEEE DOI
2609
Modeling, Motion planning, Vehicles, Algorithms, Energy consumption,
Optimization, Autonomous vehicles, Trajectory, Predictive control,
model predictive control
BibRef
Zhou, J.[Jun],
Liu, C.S.[Chun-Sheng],
Chang, F.[Faliang],
Wang, W.Q.[Wen-Qian],
Hao, P.H.[Peng-Hui],
Huang, Y.M.[Yi-Ming],
Prioritizing Where to Attend: CoAT-Based Driving Attention Guidance
With Risk-Aware Modeling,
IP(35), 2026, pp. 9472-9487.
IEEE DOI
2609
Modeling, Measurement, Ranking (statistics), Cognition, Pixel,
Cognitive systems, Training,
autonomous driving
BibRef
Wang, Y.J.[Yu-Jin],
Liu, Q.F.[Quan-Feng],
Fan, J.Q.[Jia-Qi],
Hong, J.L.[Jin-Long],
Chu, H.Q.[Hong-Qing],
Tian, M.J.[Meng-Jian],
Gao, B.Z.[Bing-Zhao],
Chen, H.[Hong],
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous
Driving With Vision-Language Models,
MultMed(28), 2026, pp. 8030-8044.
IEEE DOI
2610
Autonomous vehicles, Cognition, Data models, Cross modal retrieval,
Visualization, Databases, Training, Predictive models, Accuracy,
vision-language model
BibRef
Liu, Z.[Zhen],
Gong, X.[Xun],
Li, N.[Nan],
Gao, H.[Hang],
Lin, Y.T.[Ye-Ting],
Qu, T.[Ting],
Hu, Y.F.[Yun-Feng],
Chen, H.[Hong],
Adversarial Driving Behavior Generation via Fuzzy Reward
Reinforcement Learning Incorporating Human Risk Cognition,
ITS(26), No. 11, November 2025, pp. 19961-19978.
IEEE DOI
2511
Driver behavior, Behavioral sciences, Cognition, Vehicles, Training,
Reinforcement learning, Human factors, Testing, HiL evaluation
BibRef
Wang, Y.J.[Yu-Jin],
Liu, Q.F.[Quan-Feng],
Jiang, Z.X.[Zheng-Xin],
Wang, T.Y.[Tian-Yi],
Jiao, J.F.[Jun-Feng],
Chu, H.Q.[Hong-Qing],
Gao, B.Z.[Bing-Zhao],
Chen, H.[Hong],
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with
Vision-Language Models in Autonomous Driving,
DistillDrive24(3838-3848)
IEEE DOI
2512
Measurement, Accuracy, Trajectory planning, Decision making,
Retrieval augmented generation, Pipelines, Autonomous Driving
BibRef
Guo, F.[Fan],
Ma, C.[Chuyu],
Zhao, D.[Dezong],
Wang, J.Y.[Jia-Yang],
Yan, Z.Q.[Zheng-Qing],
Hao, J.[Jinbo],
Chen, Y.[Yun],
Zhang, L.[Lianhui],
Song, K.[Kang],
Human-Inspired Graphformer-Tutor: Accelerating and Safeguarding
Multi-Agent Driving Learning,
ITS(27), No. 10, October 2026, pp. 12342-12355.
IEEE DOI
2610
Modeling, Optimization, Training, Vehicles, Protection, Safety,
Distance measurement, Costing, Autonomous driving, Graphformer
BibRef
Goff, M.[Mitchell],
Hogan, G.[Greg],
Hotz, G.[George],
du Parc-Locmaria, A.[Armand],
Raczy, K.[Kacper],
Schäfer, H.[Harald],
Shihadeh, A.[Adeeb],
Zhang, W.X.[Wei-Xing],
Yousfi, Y.[Yassine],
Learning to Drive from a World Model,
SimulDrive25(1955-1964)
IEEE DOI
2512
Training, Computational modeling, Computer architecture, Drives,
Driver behavior, Autonomous Driving, World Model, End To End,
Driving Simulator
BibRef
Qiao, G.R.[Guan-Ren],
Quan, G.R.[Guo-Rui],
Qu, R.X.[Rong-Xiao],
Liu, G.L.[Gui-Liang],
Modelling Competitive Behaviors in Autonomous Driving Under Generative
World Model,
ECCV24(XXXV: 19-36).
Springer DOI
2412
BibRef
Peng, Z.H.[Zheng-Hao],
Luo, W.J.[Wen-Jie],
Lu, Y.R.[Yi-Ren],
Shen, T.Y.[Tian-Yi],
Gulino, C.[Cole],
Seff, A.[Ari],
Fu, J.[Justin],
Improving Agent Behaviors with Rl Fine-tuning for Autonomous Driving,
ECCV24(XXV: 165-181).
Springer DOI
2412
BibRef
Zhao, G.S.[Guo-Sheng],
Ni, C.J.[Chao-Jun],
Wang, X.F.[Xiao-Feng],
Zhu, Z.[Zheng],
Zhang, X.Y.[Xue-Yang],
Wang, Y.[Yida],
Huang, G.[Guan],
Chen, X.Z.[Xin-Ze],
Wang, B.[Boyuan],
Zhang, Y.[Youyi],
Mei, W.J.[Wen-Jun],
Wang, X.G.[Xin-Gang],
DriveDreamer4D: World Models Are Effective Data Machines for 4D
Driving Scene Representation,
CVPR25(12015-12026)
IEEE DOI
2508
Training, Training data, Coherence, Rendering (computer graphics),
Neural radiance field, Data models, Trajectory, video generation
BibRef
Wang, X.F.[Xiao-Feng],
Zhu, Z.[Zheng],
Huang, G.[Guan],
Chen, X.Z.[Xin-Ze],
Zhu, J.[Jiagang],
Lu, J.W.[Ji-Wen],
Drivedreamer: Towards Real-world-drive World Models for Autonomous
Driving,
ECCV24(XLVIII: 55-72).
Springer DOI
2412
BibRef
Wang, J.B.[Jing-Bo],
Yuan, Y.[Ye],
Luo, Z.Y.[Zheng-Yi],
Xie, K.[Kevin],
Lin, D.[Dahua],
Iqbal, U.[Umar],
Fidler, S.[Sanja],
Khamis, S.[Sameh],
Learning Human Dynamics in Autonomous Driving Scenarios,
ICCV23(20739-20749)
IEEE DOI
2401
BibRef
Teixeira e Silva, D.[Diana],
Cruz, R.P.M.[Ricardo P. M.],
Condition Invariance for Autonomous Driving by Adversarial Learning,
CIARP23(I:552-563).
Springer DOI
2312
BibRef
Zhang, J.Y.[Jimu-Yang],
Zhu, R.Z.[Rui-Zhao],
Ohn-Bar, E.[Eshed],
SelfD: Self-Learning Large-Scale Driving Policies From the Web,
CVPR22(17295-17305)
IEEE DOI
2210
Training, Navigation, Annotations, Data collection, Cameras,
Navigation and autonomous driving, Robot vision,
Self- semi- meta- Vision applications and systems
BibRef
Greco, A.[Antonio],
Rundo, L.[Leonardo],
Saggese, A.[Alessia],
Vento, M.[Mario],
Vicinanza, A.[Antonio],
Imitation Learning for Autonomous Vehicle Driving:
How Does the Representation Matter?,
CIAP22(I:15-26).
Springer DOI
2205
BibRef
Codevilla, F.,
Santana, E.,
Lopez, A.,
Gaidon, A.,
Exploring the Limitations of Behavior Cloning for Autonomous Driving,
ICCV19(9328-9337)
IEEE DOI
2004
Dataset, Driver Behavior.
WWW Link. behavioural sciences computing,
learning (artificial intelligence), neural nets, Vehicle dynamics
BibRef
Martin, M.,
Roitberg, A.,
Haurilet, M.,
Horne, M.,
Reiß, S.,
Voit, M.,
Stiefelhagen, R.,
Drive Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior
Recognition in Autonomous Vehicles,
ICCV19(2801-2810)
IEEE DOI
2004
behavioural sciences computing, feature extraction,
image motion analysis, learning (artificial intelligence),
Skeleton
BibRef
Brahma, P.P.,
Othon, A.,
Subset Replay Based Continual Learning for Scalable Improvement of
Autonomous Systems,
AutoDrive18(1179-11798)
IEEE DOI
1812
Training, Task analysis, Machine learning, Computational modeling,
Training data, Neural networks, Feature extraction
BibRef
Bera, A.,
Randhavane, T.,
Wang, A.,
Manocha, D.,
Kubin, E.,
Gray, K.,
Classifying Group Emotions for Socially-Aware Autonomous Vehicle
Navigation,
AutoDrive18(1152-11528)
IEEE DOI
1812
Navigation, Trajectory, Psychology, Computational modeling,
Autonomous robots, Heuristic algorithms
BibRef
Cheung, E.,
Bera, A.,
Manocha, D.,
Efficient and Safe Vehicle Navigation Based on Driver Behavior
Classification,
AutoDrive18(1137-11377)
IEEE DOI
1812
Trajectory, Navigation, Measurement, Autonomous vehicles,
Feature extraction, Automobiles
BibRef
Chen, Y.,
Wang, J.,
Li, J.,
Lu, C.,
Luo, Z.,
Xue, H.,
Wang, C.,
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively,
CVPR18(5870-5878)
IEEE DOI
1812
Benchmark testing, Sensors, Roads,
Laser radar, Autonomous vehicles
BibRef
Budvytis, I.,
Sauer, P.,
Roddick, T.,
Breen, K.,
Cipolla, R.,
Large Scale Labelled Video Data Augmentation for Semantic
Segmentation in Driving Scenarios,
CVRoads17(230-237)
IEEE DOI
1802
Autonomous vehicles, Image segmentation, Labeling,
Machine learning, Semantics, Training, Uncertainty
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Driving Simulator, Simulated Driving .