Intelligent Robotic Visual Perception With Deep Learning

Qiaokang Liang, Hai Qin, Shao Xiang (Autoren)

Buch | Softcover

294 Seiten

2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-33532-7 (ISBN)

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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.

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

1. An overview of the development and challenges of robot vision perception systems
2. The components, main implementation steps, and typical applications of robot vision perception systems
3. D deep learning technologies in robot vision perception systems
4. Text detection based on image segmentation and sequence-based scene text recognition technologies in natural scenes
5. Visual object detection technologies, with a focus on R-FCN-based and Mask RCNN-based object detection methods
6. Multi-object tracking technologies, emphasizing sequence feature-based and context graph model-based multi-object tracking methods
7. Image segmentation methods, with a focus on remote sensing image semantic segmentation using adaptive feature selection networks and region segmentation based on SU-SWA

Erscheinungsdatum	16.09.2025
Verlagsort	Philadelphia
Sprache	englisch
Maße	152 x 229 mm
Gewicht	450 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
ISBN-10	0-443-33532-X / 044333532X
ISBN-13	978-0-443-33532-7 / 9780443335327
Zustand	Neuware