Citation

Xu N, Wang S, Shi L, Kodagoda S. Int. J. Veh. Des. 2017; 74(2): 153-165.

Copyright

(Copyright © 2017, Inderscience Publishers)

DOI

10.1504/IJVD.2017.10006574

PMID

unavailable

Abstract

The road terrain type is important information about a passenger vehicle's surroundings. It suggests an appropriate control algorithm and driving strategy. In this paper, a Lidar sensor is employed to reconstruct the road surface and extract features for terrain classification. The experiment vehicle was driven on four specific road terrains at a variety of speeds. The speed dependency and the effect of using principal component analysis were investigated. The simulation experimental results show that this Lidar sensor-based approach is feasible and robust for passenger vehicles in a range of outdoor scenarios.


Keywords: terrain recognition; feature extraction; classification; machine learning; passenger vehicles.

Language: en