Unmanned System Technologies

Road Terrain Classification Technology for Autonomous Vehicle

Authors: Wang, Shifeng

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  • Comprehensively discusses various accelerometers, cameras, sensors, and LRFs for autonomous vehicles 
  • Provides an extensive review of road terrain classification by applying the MRF multiple-sensor fusion method 
  • Includes detailed comparisons of tables and figures, confirming the MRF multiple-sensor fusion method’s effectiveness and feasibility for road terrain classification 
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eBook $89.00
price for USA in USD (gross)
  • ISBN 978-981-13-6155-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-981-13-6154-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. 

About the authors

Shifeng Wang has double doctoral degrees. He received Eng. D. from Changchun University of science and technology in 2008, later on he received Ph.D. from University of Technology Sydney in 2013. He is an associate Professor at Key Laboratory of Optoelectronic Measurement and Optical Information Transmission Technology of Ministry of Education, National Demonstration Center for Experimental Optoelectronic Engineering Education, School of Optoelectronic Engineering, Changchun University of Science and Technology. He majored in Robot Science and Artificial Intelligence. He undertook many major research projects in China and Austrlia. From 2010-2013, he is in charge of the "An Instrumented Vehicle for Research on Safe Driving Project" and the "Human-Machine Interaction for Driving Assistant System Project", both financial aided by the Australia government. He has been granted 6 invention patents and applied another 8 ones related to the autonomous vehicle and published more than 20 technical papers. This book is finically supported by the project of Natural Science Foundation of Jilin Province (20150101047JC), China. 

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-981-13-6155-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-981-13-6154-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Road Terrain Classification Technology for Autonomous Vehicle
Authors
Series Title
Unmanned System Technologies
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
China Machine Press, Beijing and Springer Nature Singapore Pte Ltd.
Distribution Rights
Distribution rights for print copies in China mainland: China Machine Press
eBook ISBN
978-981-13-6155-5
DOI
10.1007/978-981-13-6155-5
Hardcover ISBN
978-981-13-6154-8
Series ISSN
2523-3734
Edition Number
1
Number of Pages
XVI, 97
Number of Illustrations
11 b/w illustrations, 32 illustrations in colour
Additional Information
Jointly published with China Machine Press, Beijing, China
Topics