V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting H Yu, W Yang, H Ruan, Z Yang, Y Tang, X Gao, X Hao, Y Shi, Y Pan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 99 | 2023 |
Rcooper: A real-world large-scale dataset for roadside cooperative perception R Hao, S Fan, Y Dai, Z Zhang, C Li, Y Wang, H Yu, W Yang, J Yuan, Z Nie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 23 | 2024 |
Quest: Query stream for vehicle-infrastructure cooperative perception S Fan, H Yu, W Yang, J Yuan, Z Nie arXiv preprint arXiv:2308.01804 1, 2023 | 15 | 2023 |
End-to-end autonomous driving through V2X cooperation H Yu, W Yang, J Zhong, Z Yang, S Fan, P Luo, Z Nie arXiv preprint arXiv:2404.00717, 2024 | 11 | 2024 |
Learning cooperative trajectory representations for motion forecasting H Ruan, H Yu, W Yang, S Fan, Z Nie Advances in Neural Information Processing Systems 37, 13430-13457, 2025 | 10 | 2025 |
QUEST: Query stream for practical cooperative perception S Fan, H Yu, W Yang, J Yuan, Z Nie 2024 IEEE International Conference on Robotics and Automation (ICRA), 18436 …, 2024 | 10 | 2024 |
Leveraging temporal contexts to enhance vehicle-infrastructure cooperative perception J Zhong, H Yu, T Zhu, J Xu, W Yang, Z Nie, C Sun arXiv preprint arXiv:2408.10531, 2024 | 3 | 2024 |
LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Z Yang, J Mao, W Yang, Y Ai, Y Kong, H Yu, W Zhang arXiv preprint arXiv:2411.14927, 2024 | 1 | 2024 |
DriveE2E: Benchmarking Closed-Loop End-to-End Autonomous Driving Based-on Real-World Traffic Scenarios H Yu, W Yang, R Hao, C Wang, J Zhong, P Luo, Z Nie | | |