High-precision self-supervised underwater visual odometry via unified image enhancement and coupled cycle consistency
The purpose of this paper is to propose a high-precision self-supervised monocular visual odometry (VO) framework for navigation in complex underwater environments. An uncertainty-aware underwater image enhancement module is integrated into a self-supervised monocular VO framework. By embedding an uncertaint...