Coastal underwater evidence search system with surface-underwater collaboration

Abstract

The Coastal Underwater Evidence Search System (CUES-S) with Surface-Underwater Collaboration is designed to revolutionise the search for artificial objects in coastal underwater environments, overcoming the limitations associated with traditional methods such as divers and tethered remotely operated vehicles (ROVs). These traditional approaches often face human risk, poor underwater visibility, difficulties navigating complex terrains, and inefficiency. Our innovative system introduces a seamless collaborative framework between an autonomous surface vehicle (ASV) and a biomimetic underwater robot inspired by the efficient locomotion and adaptability of marine organisms like crabs. This underwater robot has an advanced sensor suite and specialised motion mechanisms, including wide-angle cameras integrated with visual recognition technology. The visual recognition capability enables the robot to identify underwater objects, significantly aiding users in pinpointing relevant items or areas of interest. By leveraging the combined capabilities of the ASV and the underwater robot, CUES-S enhances operational range, improves precision in navigation and localisation, optimises evidence recovery processes, and minimises disturbance to underwater sediments. Preliminary tests conducted in pond environments and coastal field trials have demonstrated the system’s potential to surpass the limitations of conventional underwater search methods, offering a robust and efficient solution for law enforcement and recovery operations in marine settings.

Date of Award	2024
Original language	English
Awarding Institution	The Hong Kong University of Science and Technology
Supervisor	Ling SHI (Supervisor)