Liang / Qin candidate / Qin Intelligent Robotic Visual Perception with Deep Learning

1. Auflage 2025
ISBN: 978-0-443-33533-4
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 470 Seiten

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

Dr. Qiakang 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

Autoren/Hrsg.

Liang, Qiaokang

Qin candidate, Hai

Qin, Hai

Xiang, Shao