Visual Perception and Control of Underwater Robots 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 the sea. The second 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. Additionally, the mainstream technologies 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 this work.
Insights from Visitor Studies: A purpose-oriented model for museums provides a systematic overview of the value of visitor studies and, for the first time in English, a comprehensive overview of the development of visitor studies in mainland China. This book emphasizes the importance of approaching visitor studies with a focus on purpose-oriented way and introduces the PSD model based on it. Zhao suggests that when museums aim to use the results of visitor research to gain support, or when they want to conduct a visitor evaluation to address a specific issue, they can follow the logical sequence of Purpose, Standpoint, and Dimension for analysis and identification. This approach will help museums derive maximum value from previous research or enhance the effectiveness of evaluations in practice. Throughout this process, Zhao not only consolidates literature from various cultural backgrounds into a unified framework, but also strives to incorporate existing terminology from the field of visitor studies to the greatest extent possible. Insights from Visitor Studies: A purpose-oriented model for museums examines the value of visitor studies for museum practice. It will be of great interest to museum practitioners to design transparent visitor research and evaluation practices. It will also assist academics and students engaged in the study of museums, heritage and tourism.
Visual Perception and Control of Underwater Robots 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 the sea. The second 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. Additionally, the mainstream technologies 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 this work.
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