most citedA high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 1 cited

A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation

Xiuyuan Li, Jiangang Yu, Fengchao Li +1

This paper proposes a high-precision self-supervised monocular VO, which is specifically designed for navigation in foggy weather. A cycled generative adversarial network is design…