| 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 | 227 | 2022 |
| 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 | 145 | 2022 |
| 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 | 109 | 2024 |
| 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 | 81 | 2023 |
| 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 | 55 | 2021 |
| 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 | 42* | 2024 |
| 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 | 31 | 2023 |
| Transferable and adaptable driving behavior prediction L Wang, Y Hu, L Sun, W Zhan, M Tomizuka, C Liu arXiv preprint arXiv:2202.05140, 2022 | 29 | 2022 |
| 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 | 27 | 2022 |
| 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 | 22 | 2021 |
| 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 | 11 | 2023 |
| DI-drive: OpenDILab decision intelligence platform for autonomous driving simulation D Drive Contributors | 10* | 2022 |
| 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 | 9 | 2024 |
| Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction L Wang, Y Hu, C Liu | 5 | 2021 |
| 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 | 2 | 2024 |
| SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Y Zhou*, H Shao*, L Wang*, SL Waslander, H Li, Y Liu International Conference on Learning Representations (ICLR 2025), 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 |
Steven WaslanderUniversity of Toronto確認したメール アドレス: robotics.utias.utoronto.ca
