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Ding Zhao
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Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques
D Zhao, H Lam, H Peng, S Bao, DJ LeBlanc, K Nobukawa, CS Pan
IEEE transactions on intelligent transportation systems 18 (3), 595-607, 2016
4122016
Accelerated evaluation of automated vehicles in car-following maneuvers
D Zhao, X Huang, H Peng, H Lam, DJ LeBlanc
IEEE Transactions on Intelligent Transportation Systems 19 (3), 733-744, 2017
2442017
Intelligent and connected vehicles: Current status and future perspectives
DG Yang, K Jiang, D Zhao, CL Yu, Z Cao, SC Xie, ZY Xiao, XY Jiao, ...
Science China Technological Sciences 61, 1446-1471, 2018
1752018
Driving style analysis using primitive driving patterns with Bayesian nonparametric approaches
W Wang, J Xi, D Zhao
IEEE Transactions on Intelligent Transportation Systems 20 (8), 2986-2998, 2018
1572018
A learning-based approach for lane departure warning systems with a personalized driver model
W Wang, D Zhao, W Han, J Xi
IEEE Transactions on Vehicular Technology 67 (10), 9145-9157, 2018
1452018
Learning and inferring a driver's braking action in car-following scenarios
W Wang, J Xi, D Zhao
IEEE Transactions on Vehicular Technology 67 (5), 3887-3899, 2018
1072018
How much data are enough? A statistical approach with case study on longitudinal driving behavior
W Wang, C Liu, D Zhao
IEEE Transactions on Intelligent Vehicles 2 (2), 85-98, 2017
1042017
Accelerated evaluation of automated vehicles using piecewise mixture models
Z Huang, H Lam, DJ LeBlanc, D Zhao
IEEE Transactions on Intelligent Transportation Systems 19 (9), 2845-2855, 2017
912017
Prompting decision transformer for few-shot policy generalization
M Xu, Y Shen, S Zhang, Y Lu, D Zhao, J Tenenbaum, C Gan
international conference on machine learning, 24631-24645, 2022
902022
A survey on safety-critical driving scenario generation—A methodological perspective
W Ding, C Xu, M Arief, H Lin, B Li, D Zhao
IEEE Transactions on Intelligent Transportation Systems, 2023
892023
Multimodal safety-critical scenarios generation for decision-making algorithms evaluation
W Ding, B Chen, B Li, KJ Eun, D Zhao
IEEE Robotics and Automation Letters 6 (2), 1551-1558, 2021
892021
Learning to collide: An adaptive safety-critical scenarios generating method
W Ding, B Chen, M Xu, D Zhao
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
882020
Extracting traffic primitives directly from naturalistically logged data for self-driving applications
W Wang, D Zhao
IEEE Robotics and Automation Letters 3 (2), 1223-1229, 2018
832018
Mapper: Multi-agent path planning with evolutionary reinforcement learning in mixed dynamic environments
Z Liu, B Chen, H Zhou, G Koushik, M Hebert, D Zhao
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
822020
Empirical study of DSRC performance based on safety pilot model deployment data
X Huang, D Zhao, H Peng
IEEE Transactions on Intelligent Transportation Systems 18 (10), 2619-2628, 2017
762017
Trafficnet: An open naturalistic driving scenario library
D Zhao, Y Guo, YJ Jia
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
702017
Constrained variational policy optimization for safe reinforcement learning
Z Liu, Z Cen, V Isenbaev, W Liu, S Wu, B Li, D Zhao
International Conference on Machine Learning, 13644-13668, 2022
642022
Accelerated Evaluation of Automated Vehicles.
D Zhao
642016
Delay-aware model-based reinforcement learning for continuous control
B Chen, M Xu, L Li, D Zhao
Neurocomputing 450, 119-128, 2021
612021
Clustering of driving encounter scenarios using connected vehicle trajectories
W Wang, A Ramesh, J Zhu, J Li, D Zhao
IEEE Transactions on intelligent vehicles 5 (3), 485-496, 2020
56*2020
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