Road Terrain Classification Technology for Autonomous Vehicle

£89.50

Road Terrain Classification Technology for Autonomous Vehicle

Electronics engineering Highway and traffic engineering Automotive technology and trades Artificial intelligence Digital signal processing (DSP)

Author: Shifeng Wang

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Collection: Unmanned System Technologies

Language: English

Published by: Springer

Published on: 15th March 2019

Format: LCP-protected ePub

Size: 21 Mb

ISBN: 9789811361555


Overview

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.

MRF Algorithm

It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types.

Comparison and Effectiveness

The comparison between the predicting LRF and its corresponding MRF shows that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain.

Applications and Illustrations

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.

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