3 papers
cs.CV2025
StereoMV2D: A Sparse Temporal Stereo-Enhanced Framework for Robust Multi-View 3D Object Detection
Di Wu, Feng Yang, Wenhui Zhao +4
Multi-view 3D object detection is a fundamental task in autonomous driving perception, where achieving a balance between detection accuracy and computational efficiency remains cru…
cs.CV2024
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection
Di Wu, Feng Yang, Benlian Xu +3
The application of vision-based multi-view environmental perception system has been increasingly recognized in autonomous driving technology, especially the BEV-based models. Curre…
cs.CV2024
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving
Di Wu, Feng Yang, Benlian Xu +2
With the rapid advancement of autonomous driving technology, there is a growing need for enhanced safety and efficiency in the automatic environmental perception of vehicles during…