Junzhi Yu, Xingyu Chen, Shihan Kong

Visual Perception and Control of Underwater Robots (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 250
• Erscheinungstermin: 28. Februar 2021
• Englisch
• ISBN-13: 9781000346619
• Artikelnr.: 60995545

Autorenporträt

Junzhi Yu is a professor of Peking University, whose research interests incude biomimetic robots, intelligent control, and intelligent mechatonic systems. In these areas, he has (co-)authored 3 monographs, and published over 100 SCI papers in the prestigious robotics and automation related journals.

Xingyu Chen, PhD in University of Chinese Academy of Sciences.

Shihan Kong, PhD student in University of Chinese Academy of Sciences.

Inhaltsangabe

1. Introduction 2. Adaptive Real-Time Underwater Visual Restoration with
Adversarial Critical Learning 3. A NSGA-II-Based Calibration for Underwater
Binocular Vision Measurement 4. Joint Anchor-Feature Refinement for
Real-Time Accurate Object Detection in Images and Videos 5. Rethinking
Temporal Object Detection from Robotic Perspectives 6. Reveal of Domain
Effect: How Visual Restoration Contributes to Object Detection in Aquatic
Scenes 7. IWSCR: An Intelligent Water Surface Cleaner Robot for Collecting
Floating Garbage 8. Underwater Target Tracking Control of an Untethered
Robotic Fish with a Camera Stabilizer 9. Summary and Outlook