Hongzhi Ruan — accepted AI-conference papers

2024

Learning Cooperative Trajectory Representations for Motion Forecasting

Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Zaiqing Nie

NeurIPS 2024poster

Motion forecasting is an essential task for autonomous driving, and utilizing information from infrastructure and other vehicles can enhance forecasting capabilities. Existing research mainly focuses on leveraging single-frame cooperative information to enhance the limited perception capability of t…

Cited by 13 Source ↗PDF ↗code ↗Scholar ↗

2023

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting

Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao +8

CVPR 2023poster

Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety in autonomous driving. However, the lack of real-world sequential datasets limits research in this area. To address this…

Cited by 113 Source ↗PDF ↗code ↗Scholar ↗