3 papers
cs.CV2025
End-to-End 3-D Spatiotemporal Perception with Multimodal Fusion and V2X Collaboration
Zhenwei Yang, Yibo Ai, Weidong Zhang
Multiview cooperative perception and multimodal fusion are essential for reliable 3-D spatiotemporal understanding in autonomous driving, especially in cases with occlusions, limit…
cs.CV2024
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.RO2024
End-to-End Autonomous Driving through V2X Cooperation
Haibao Yu, Wenxian Yang, Jiaru Zhong +4
Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving. However, current…