Road Terrain Classification Technology for Autonomous Vehicle (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Unmanned System Technologies
Release date:	August 2020
First published:	2019
Authors:	Shifeng Wang
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	97
Edition:	1st ed. 2019
ISBN-13:	978-981-13-6157-9
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > Highway & traffic engineering Books > Professional & Technical > Transport technology > Automotive technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-13-6157-6
Barcode:	9789811361579

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