Underwater Acoustic-Optical Perception

This book explores the transformative methods that have revolutionized underwater robotics in recent decades. Focusing on practical algorithms and real-world applications, this book fulfills the pressing need for a comprehensive resource on underwater acoustic-optical perception. Highlighting advanced techniques such as Transformer models for sonar object tracking and detection, the l1-total variation model, and acoustic-optical fusion, this book provides an in-depth exploration of sonar image processing, object detection, and tracking while addressing emerging challenges and future research directions. Rich with illustrative examples and computational case studies, this book serves as an essential reference for diverse audiences. University students pursuing underwater information processing and engineers specializing in deep-sea exploration, subsea operations, and sonar data analysis find it particularly invaluable. By bridging foundational concepts with cutting-edge innovations, this book offers the tools and insights necessary to advance understanding and implementation in underwater robotics and perception systems.