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

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Éditeur :

Springer

Paru le : 2019-08-12

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, ...
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Éditeur

Collection
n.c

Parution
2019-08-12

Pages
328 pages

EAN papier
9789811392160

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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EAN PDF
9789811392177
Prix
94,94 €
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
11377 Ko
EAN EPUB
9789811392177
Prix
94,94 €
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
78879 Ko

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