73 citations · 94 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 16 cited
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation
Hongxiang Cai, Zeyuan Zhang, Zhenyu Zhou +3
Integrating LiDAR and Camera information into Bird's-Eye-View (BEV) has become an essential topic for 3D object detection in autonomous driving. Existing methods mostly adopt an in…
cs.CV2023★ 5 cited
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving
Zijian Zhu, Yichi Zhang, Hai Chen +5
3D object detection is an essential perception task in autonomous driving to understand the environments. The Bird's-Eye-View (BEV) representations have significantly improved the…
cs.RO2022★ 73 cited
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds
Shoujie Li, Haixin Yu, Wenbo Ding +5
The accurate detection and grasping of transparent objects are challenging but of significance to robots. Here, a visual-tactile fusion framework for transparent object grasping un…