Haifeng Ye

Cross-Modal Knowledge Distillation for Depth Privileged Monocular Visual Odometry

Most self-supervised monocular visual odometry (VO) suffer from the scale ambiguity problem. A promising way to address this problem is to introduce additional information for training. In this work, we propose a new depth privileged framework to learn a monocular VO. It assumes that sparse depth is