@article{ref1,
title="Lidar-based road terrain recognition for passenger vehicles",
journal="International journal of vehicle design",
year="2017",
author="Xu, Ning and Wang, Shifeng and Shi, Lei and Kodagoda, Sarath",
volume="74",
number="2",
pages="153-165",
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.<p /> <p>Language: en</p>",
language="en",
issn="0143-3369",
doi="10.1504/IJVD.2017.10006574",
url="http://dx.doi.org/10.1504/IJVD.2017.10006574"
}