Yaonan Wang – författare

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

This book introduces readers to power robot systems and their applications in the electric power industry. Specifically, the book delves into the research status, technological advancements, challenges encountered, and future potential applications of power operation robots across various stages of power systems. The book provides the latest technological advancements, including in-depth analysis of power operation robots, research directions, and key contributions. Understanding how these robots enhance the monitoring and maintenance efficiency of power systems, mitigate failure risks, and address the challenges of operation and maintenance in complex and large-scale networks is crucial.

The topics covered in the book include mobile robot control, navigation, robotic arm control, inverse kinematics algorithms, image recognition, visual calibration, object grasping, and unmanned aerial robotic manipulation. The book is interwoven with practical application tasks typical of power industry, which are essential for mastering the design, application, and development trends of electric power robots.

The content is easy to understand and rich in information. This book can serve as a reference for researchers specializing in power system automation, robotics, control theory, and artificial intelligence. For professionals working in power companies, robot manufacturers, system integrators, and related industries, this book offers practical guidance and solutions. For educators teaching courses in electrical engineering, robotics, automation control, and artificial intelligence, this book provides up-to-date knowledge and real-world examples to enhance classroom engagement and teaching quality. For undergraduate students majoring in electrical engineering, automation, robotics, and related fields, this book can serve as supplementary reading material to expand their knowledge base and ignite their passion for science and technology.