Search Results for author: Hongzhi Ruan

Found 2 papers, 2 papers with code

Learning Cooperative Trajectory Representations for Motion Forecasting

2 code implementations1 Nov 2023 Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Yingjuan Tang, Zaiqing Nie

Specifically, we present V2X-Graph, the first interpretable and end-to-end learning framework for cooperative motion forecasting.

Motion Forecasting

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

1 code implementation CVPR 2023 Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, Juan Song, Jirui Yuan, Ping Luo, Zaiqing Nie

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.

Autonomous Driving Decision Making +1

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