14 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 5 cited
LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
Zhenwei Yang, Jilei Mao, Wenxian Yang +4
Temporal perception, defined as the capability to detect and track objects across temporal sequences, serves as a fundamental component in autonomous driving systems. While single-…
cs.CV2023★ 10 cited
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
Haibao Yu, Yingjuan Tang, Enze Xie +3
Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, the uncertain temporal asynchron…
cs.CV2023★ 14 cited
Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction
Haibao Yu, Yingjuan Tang, Enze Xie +4
Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, temporal asynchrony and limited…