Authors:
- 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
Part of the book series: Unmanned System Technologies (UST)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, China
Shifeng Wang
About the author
Bibliographic Information
Book Title: Road Terrain Classification Technology for Autonomous Vehicle
Authors: Shifeng Wang
Series Title: Unmanned System Technologies
DOI: https://doi.org/10.1007/978-981-13-6155-5
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: China Machine Press, Beijing and Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-6154-8Published: 26 March 2019
Softcover ISBN: 978-981-13-6157-9Published: 14 August 2020
eBook ISBN: 978-981-13-6155-5Published: 15 March 2019
Series ISSN: 2523-3734
Series E-ISSN: 2523-3742
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: Automotive Engineering, Artificial Intelligence, Transportation Technology and Traffic Engineering, Signal, Image and Speech Processing