Underwater Acoustic-Optical Perception
Architecture, Algorithm, and Application
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Beschreibung
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.
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.
Offers a comprehensive overview of models and algorithms in underwater acoustic-optical perception Includes robust theoretical foundations for sonar data processing and underwater robotics Features numerous illustrative and computational examples for practical understanding
Autor*in
Han Pan
Themen in »Underwater Acoustic-Optical Perception«
multibeam forward-looking sonar underwater stereo camera correlation filtering-based video tracking ℓ1-total variation model acoustic-optical fusion sonar image processing underwater robotics object tracking underwater dynamic docking end-to-end multi-model object detection adaptive sparsity robust brightness prior sonar data processing