Road Terrain Classification Technology for Autonomous Vehicle

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 L...

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Bibliographic Details
Main Author: Wang, Shifeng (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Unmanned System Technologies,
Subjects:
Automotive engineering.
Artificial intelligence.
Transportation engineering.
Traffic engineering.
Signal processing.
Automotive Engineering.
Artificial Intelligence.
Transportation Technology and Traffic Engineering.
Signal, Speech and Image Processing.
Online Access:Full-text access
Description
Summary: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. .
Physical Description:XVI, 97 p. 43 illus., 32 illus. in color. online resource.
ISBN:9789811361555
ISSN:2523-3742
DOI:10.1007/978-981-13-6155-5

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