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Letian Wang
Letian Wang
University of Toronto | Carnegie Mellon University | UC Berkeley
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
H Shao*, L Wang*, R Chen, H Li, Y Liu
Conference on Robot Learning (1st-Place Solution of Carla Leaderboard), 2022
1992022
Social interactions for autonomous driving: A review and perspectives
W Wang, L Wang, C Zhang, C Liu, L Sun
Foundations and Trends® in Robotics 10 (3-4), 198-376, 2022
1302022
Lmdrive: Closed-loop end-to-end driving with large language models
H Shao, Y Hu, L Wang, G Song, SL Waslander, Y Liu, H Li
CVPR 2024 (First Work on LLM for Closed-Loop End-to-End Driving), 15120-15130, 2024
832024
ReasonNet: End-to-End Driving with Temporal and Global Reasoning
H Shao, L Wang, R Chen, SL Waslander, H Li, Y Liu
CVPR 2023 (Winner of Carla Autonomous Driving Challenge 2022), 2023
712023
Socially-compatible behavior design of autonomous vehicles with verification on real human data
L Wang, L Sun, M Tomizuka, W Zhan
IEEE Robotics and Automation Letters 6 (2), (Best Paper Award Honorable Mention), 2021
522021
Transferable and adaptable driving behavior prediction
L Wang, Y Hu, L Sun, W Zhan, M Tomizuka, C Liu
arXiv preprint arXiv:2202.05140, 2022
292022
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
L Wang, J Liu, H Shao, W Wang, R Chen, Y Liu, SL Waslander
Robotics: Science and Systems (RSS 2023), 2023
282023
Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning
H Shao, S Qian, H Xiao, G Song, Z Zong, L Wang, Y Liu, H Li
Advances in Neural Information Processing Systems 37 (NeurIPS 2024, Spotlight), 2024
26*2024
Efficient game-theoretic planning with prediction heuristic for socially-compliant autonomous driving
C Li, T Trinh, L Wang, C Liu, M Tomizuka, W Zhan
IEEE Robotics and Automation Letters 7 (4), 10248-10255, 2022
262022
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
L Wang, Y Hu, L Sun, W Zhan, M Tomizuka, C Liu
35th Conference on Neural Information Processing Systems (NeurIPS 2021 …, 2021
222021
Accelerating reinforcement learning for autonomous driving using task-agnostic and ego-centric motion skills
T Zhou*, L Wang*, R Chen, W Wang, Y Liu
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
112023
DI-drive: OpenDILab decision intelligence platform for autonomous driving simulation
D Drive Contributors
10*2021
SmartRefine: An Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
Y Zhou, H Shao, L Wang, SL Waslander, H Li, Y Liu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024
62024
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction
L Wang, Y Hu, C Liu
AAAI Conference on Artificial Intelligence, Human-Centric Self-Supervised …, 2021
52021
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
L Wang, SW Kim, J Yang, C Yu, B Ivanovic, SL Waslander, Y Wang, ...
Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
12024
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Y Zhou, H Shao, L Wang, SL Waslander, H Li, Y Liu
arXiv preprint arXiv:2410.08669, 2024
2024
Human Instruction Following: Graph Neural Network Guided Object Navigation
H Chen, L Wang, Y Yao, Y Zhao, P Vela
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
2022
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