Confidence Guided Stereo 3D Object Detection with Split Depth Estimation

Chengyao Li,Jason Ku,Steven L. Waslander,Chengyao Li,Jason Ku,Steven L. Waslander

Accurate and reliable 3D object detection is vital to safe autonomous driving. Despite recent developments, the performance gap between stereo-based methods and LiDAR-based methods is still considerable. Accurate depth estimation is crucial to the performance of stereo-based 3D object detection methods, particularly for those pixels associated with objects in the foreground. Moreover, stereo-based...