Machine Learning-based Natural Scene Recognition for Mobile Robot L...
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes

  • Springer

  • Publication date : 2019-08-12

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This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.

About the book
Author
Xiaochun  Wang , Xiali  Wang , Don Mitchell  Wilkes
Imprint
Springer
Collection
n.c
Publication date
2019-08-12
Pages
328 pages
Print ISBN
9789811392160
Language
English
Ebook informations
EAN PDF
9789811392177
Price
£89.50
Read more
Copy count 3
Print count 32
File size 11377 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9789811392177
Price
£89.50
Read more
Copy count 3
Print count 32
File size 78879 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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Xiaochun Wang received her BS degree from Beijing University and the PhD degree from the Department of Electrical Engineering and Computer Science, Vanderbilt University. She is currently an associate professor of School of Software Engineering at Xi’an Jiaotong University. Her research interests are in computer vision, signal processing, and pattern recognition.

Xia Li Wang received the PhD degree from the Department of Computer Science, Northwest University, China, in 2005. He is a faculty member in the Department of Computer Science, Changan University, China. His research interests are in computer vision, signal processing, intelligent traffic system, and pattern recognition.

D. Mitchell Wilkes received the BSEE degree from Florida Atlantic, and the MSEE and PhD degrees from Georgia Institute of Technology. His research interests include digital signal processing, image processing and computer vision, structurally adaptive systems, sonar,as well as signal modeling. He is a member of the IEEE and a faculty member at the Department of Electrical Engineering and Computer Science, Vanderbilt University. He is a member of the IEEE.

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