Xiaoli Xu

A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry

Self-Supervised monocular visual odometry (VO) is often cast into a view synthesis problem based on depth and camera pose estimation. One of the key challenges is to accurately and robustly estimate depth with occlusions and moving objects in the scene. Existing methods simply detect and mask out re…