Intelligent Robotic Visual Perception With Deep Learning - Softcover

Liang PhD, Qiaokang; Qin PhD Candidate, Hai; Xiang, Shao

Softcover

ISBN 10: 044333532X ISBN 13: 9780443335327

Publisher: Elsevier, 2025

Synopsis

Intelligent Robotic Visual Perception with Deep Learning provides an in-depth exploration of deep learning-based robot Intelligent vision perception technologies that helps readers establish a solid foundation to learn about the applications and latest theoretical methods in visual perception. The book, in a comprehensive manner, covers the research aspects of deep learning technology in intelligent visual perception, ranging from methods to practical applications, algorithm analysis, and model construction. Users will find the latest international research trends that are essential for researchers working in the area.

• Includes a detailed exploration of both algorithmic theory and practical applications
• Provides a hands-on approach with case studies presented to help illustrate highly practical approaches
• Shows readers how to construct intelligent robot vision perception systems tailored to real-world applications

About this title

About the Authors

Dr. Qiaokang Liang is a Professor at the College of Electrical and Information Engineering, Hunan University, China. He also serves as the Deputy Director of the National Engineering Research Center for Robot Vision Perception and Control. His research interests include robotics and mechatronics, biomimetic sensing, advanced robot technology, and human–computer interaction

Hai Qin is a Ph.D. candidate at the College of Electrical and Information Engineering, Hunan University, China, and a research member at the National Engineering Research Center for Robot Vision Perception and Control. His research interests encompass intelligent robotic perception, computer vision, and machine learning

Shao Xiang is a researcher based at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; Shao Xiang is also a member of the National Engineering Research Center for Robot Vision Perception and Control.
His research interests include change detection of remote sensing, image compression, object detection and semantic segmentation

From the Back Cover

Intelligent Robotic Visual Perception with Deep Learning provides an in-depth exploration of deep learning-based robot Intelligent vision perception technology, establishing a solid foundation for engineering professionals to learn about the applications and latest theoretical methods in visual perception. The book, in a comprehensive manner, covers the research aspects of deep learning technology in intelligent visual perception, ranging from methods to practical applications, algorithm analysis to model construction. It integrates the latest international research trends, providing an essential reference for researchers working in the area.

Edition details

• Publisher: Elsevier
• Publication date: 2025
• Language: English
• ISBN 10: 044333532X
• ISBN 13: 9780443335327
• Binding: Paperback
• Edition number: 1
• Number of pages: 294