Weilin Zhong

Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints

The self-supervised learning-based depth and visual odometry (VO) estimators trained on monocular videos without ground truth have drawn significant attention recently. Prior works use photometric consistency as supervision, which is fragile under complex realistic environments due to illumination v…