Visual perception and control of underwater robots / Junzhi Yu, Xingyu Chen, Shihan Kong.
| Author/creator | Yu, Junzhi |
| Other author | Chen, Xingyu (Writer on robotics) |
| Other author | Kong, Shihan. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL ; Abingdon, Oxon : CRC Press/Taylor & Francis Group, LLC, 2021. |
| Description | 1 online resource |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | Adaptive real-time underwater visual restoration with adversarial critical learning -- A NSGA-II-based calibration for underwater binocular vision measurement -- Joint anchor-feature refinement for real-time accurate object detection in images and videos -- Rethinking temporal object detection from robotic perspectives -- Reveal of domain effect : how visual restoration contributes to object detection in aquatic scenes -- IWSCR : an intelligent water surface cleaner robot for collecting floating garbage -- Underwater target tracking control of an untethered robotic fish with a camera stabilizer. |
| Abstract | "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. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in sea. The other one is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Meanwhile, the mainstream technologies that are covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from the book"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Yu, Junzhi (Writer on robotics). Visual perception and control of underwater robots First edition. Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021. 9780367695781 |
| Genre/form | Electronic books. |
| LCCN | 2020039840 |
| ISBN | 9781000346619 (epub) |
| ISBN | 9781003144281 (ebook) |
| ISBN | (hardcover) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |