Underwater Target Localization

Underwater target localization aims to pinpoint the position of submerged objects, crucial for autonomous underwater vehicles (AUVs) and various underwater operations. Current research emphasizes improving accuracy and efficiency, focusing on both acoustic and optical sensing modalities, with a shift towards multi-modal approaches combining their strengths. Advanced algorithms, including reinforcement learning for path planning optimization and large vision models for image processing, are being explored to enhance localization precision and reduce energy consumption. These advancements have significant implications for diverse applications, such as marine animal tracking and underwater infrastructure inspection.