ติดตาม
Songan Zhang
Songan Zhang
Global Institute of Future Technology, Shanghai Jiao Tong University
ยืนยันอีเมลแล้วที่ sjtu.edu.cn
ชื่อ
อ้างโดย
อ้างโดย
ปี
Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique
S Zhang, H Peng, D Zhao, HE Tseng
2018 21st International Conference on Intelligent Transportation Systems …, 2018
522018
Monocular 3d vehicle detection using uncalibrated traffic cameras through homography
M Zhu, S Zhang, Y Zhong, P Lu, H Peng, J Lenneman
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
40*2021
Choose your simulator wisely: A review on open-source simulators for autonomous driving
Y Li, W Yuan, S Zhang, W Yan, Q Shen, C Wang, M Yang
IEEE Transactions on Intelligent Vehicles, 2024
262024
Comprehensive safety evaluation of highly automated vehicles at the roundabout scenario
X Wang, S Zhang, H Peng
IEEE Transactions on Intelligent Transportation Systems 23 (11), 20873-20888, 2022
262022
Influence of mass distribution of battery and occupant on crash response of small lightweight electric vehicle
S Zhang, Q Zhou, Y Xia
SAE Technical Paper, 2015
252015
Discretionary Lane Change Decision Making using Reinforcement Learning with Model-based Exploration
S Zhang, H Peng, S Nageshrao, HE Tseng
18th IEEE International Conference on Machine Learning and Applications, 6, 2019
222019
Developing robot driver etiquette based on naturalistic human driving behavior
X Huang, S Zhang, H Peng
IEEE transactions on intelligent transportation systems 21 (4), 1393-1403, 2019
202019
Quick learner automated vehicle adapting its roadmanship to varying traffic cultures with meta reinforcement learning
S Zhang, L Wen, H Peng, HE Tseng
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
192021
An interaction-aware evaluation method for highly automated vehicles
X Wang, H Peng, S Zhang, KH Lee
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
172021
A hybrid partitioning strategy for backward reachability of neural feedback loops
N Rober, M Everett, S Zhang, JP How
2023 American Control Conference (ACC), 3523-3528, 2023
92023
Generating socially acceptable perturbations for efficient evaluation of autonomous vehicles
S Zhang, H Peng, S Nageshrao, HE Tseng
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
82020
Dream to adapt: Meta reinforcement learning by latent context imagination and mdp imagination
L Wen, EH Tseng, H Peng, S Zhang
IEEE Robotics and Automation Letters, 2024
62024
Optimization and experimental study of stationary endwall of stator labyrinth cavity in a low-speed research compressor
B Zheng, R Shao, S Zhang, M Zhu, X Qiang, J Teng
Aerospace Science and Technology 147, 109036, 2024
52024
Interpretable reinforcement learning for robotics and continuous control
R Paleja, L Chen, Y Niu, A Silva, Z Li, S Zhang, C Ritchie, S Choi, ...
arXiv preprint arXiv:2311.10041, 2023
52023
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
L Wen, S Zhang, HE Tseng, B Singh, D Filev, H Peng
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
5*2022
Influence of wheels on frontal crash response of small lightweight electric vehicle
S Zhang, Q Zhou, Y Xia
ASME 2015 International Mechanical Engineering Congress and Exposition, 2015
42015
Performance prediction and design optimization of a transonic rotor based on deep transfer learning
H Deng, S Zhang, K Xia, X Qiang, M Zhu, J Teng
Physics of Fluids 36 (9), 2024
22024
The loss mechanisms and vortex dynamics of rotor platform step geometries in a low-speed research compressor stage
Y Yuan, M Zhu, S Zhang, X Qiang, J Teng
Physics of Fluids 36 (8), 2024
22024
Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator
X Mu, T Qin, S Zhang, C Xu, M Yang
2024 IEEE Intelligent Vehicles Symposium (IV), 2383-2390, 2024
22024
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
M Jiang, Y Li, S Zhang, S Chen, C Wang, M Yang
arXiv preprint arXiv:2405.20579, 2024
22024
ระบบไม่สามารถดำเนินการได้ในขณะนี้ โปรดลองใหม่อีกครั้งในภายหลัง
บทความ 1–20