Vision-Based Autonomous Target Recognition and Tracking for UUV Underwater Grasping and Docking

This paper takes the autonomous completion of underwater target grasping and docking tasks by UUVs as the background. It focuses on researching techniques such as underwater image enhancement, target recognition, visual target tracking, and localization. The study aims to develop vision-based autonomous target recognition and tracking methods for UUVs. Additionally, a system for underwater target grasping and docking is constructed to validate the real-time and effectiveness of the proposed methods.