Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision.

ABSTRACT: Exploration of marine habitats is one of the key pillars of underwater science, which often involves collecting images at close range. As acquiring imagery close to the seabed involves multiple hazards, the safety of underwater vehicles, such as remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs), is often compromised. Common applications for obstacle avoidance in underwater environments are often conducted with acoustic sensors, which cannot be used reliably at very short distances, thus requiring a high level of attention from the operator to avoid damaging the robot. Therefore, developing capabilities such as advanced assisted mapping, spatial awareness and safety, and user immersion in confined environments is an important research area for human-operated underw

SUBMITTER: Ochoa E 

PROVIDER: S-EPMC9315794 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature