RFDNet: Real-Time 3D Object Detection Via Range Feature Decoration
Hongda Chang,Lu Wang,Jun Cheng,Hongda Chang,Lu Wang,Jun Cheng
High-performance real-time 3D object detection is crucial in autonomous driving perception systems. Voxel-or point-based 3D object detectors are highly accurate but inefficient and difficult to deploy, while other methods use 2D projection views to improve efficiency, but information loss usually degrades performance. To balance effectiveness and efficiency, we propose a scheme called RFDNet that ...
