VAD: Vectorized Scene Representation for Efficient Autonomous Driving B Jiang, S Chen, Q Xu, B Liao, J Chen, H Zhou, Q Zhang, W Liu, C Huang, ... ICCV 2023, 2023 | 169 | 2023 |
Maptrv2: An end-to-end framework for online vectorized hd map construction B Liao, S Chen, Y Zhang, B Jiang, Q Zhang, W Liu, C Huang, X Wang International Journal of Computer Vision, 1-23, 2024 | 96 | 2024 |
Lane graph as path: Continuity-preserving path-wise modeling for online lane graph construction B Liao, S Chen, B Jiang, T Cheng, Q Zhang, W Liu, C Huang, X Wang ECCV 2024, 2023 | 34 | 2023 |
Perceive, interact, predict: Learning dynamic and static clues for end-to-end motion prediction B Jiang, S Chen, X Wang, B Liao, T Cheng, J Chen, H Zhou, Q Zhang, ... arXiv preprint arXiv:2212.02181, 2022 | 26 | 2022 |
Vadv2: End-to-end vectorized autonomous driving via probabilistic planning S Chen, B Jiang, H Gao, B Liao, Q Xu, Q Zhang, C Huang, W Liu, X Wang arXiv preprint arXiv:2402.13243, 2024 | 25 | 2024 |
Hope: Hierarchical spatial-temporal network for occupancy flow prediction Y Hu, W Shao, B Jiang, J Chen, S Chai, Z Yang, J Qian, H Zhou, Q Liu CVPR 2022 Workshop on Autonomous Driving, 2022 | 17 | 2022 |
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving B Jiang, S Chen, B Liao, X Zhang, W Yin, Q Zhang, C Huang, W Liu, ... arXiv preprint arXiv:2410.22313, 2024 | 2 | 2024 |