Road Terrain Classification Technology for Autonomous Vehicle

✍ Scribed by Shifeng Wang

• Publisher: Springer Singapore
• Year: 2019
• Tongue: English
• Leaves: 107
• Series: Unmanned System Technologies
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvi
Introduction (Shifeng Wang)....Pages 1-5
Review of Related Work (Shifeng Wang)....Pages 7-19
Acceleration-Based Road Terrain Classification (Shifeng Wang)....Pages 21-53
Image-Based Road Terrain Classification (Shifeng Wang)....Pages 55-68
LRF-Based Road Terrain Classification (Shifeng Wang)....Pages 69-78
Multiple-Sensor Based Road Terrain Classification (Shifeng Wang)....Pages 79-93
Summary (Shifeng Wang)....Pages 95-96
Back Matter ....Pages 97-97

✦ Subjects

Engineering; Automotive Engineering; Transportation Technology and Traffic Engineering; Signal, Image and Speech Processing