Unstructured road detection based on hybrid features

DOI

10.2991/iccia.2012.225How to use a DOI?

Keywords

unstructured road detection, feature descriptor,support vector machine

Abstract

Unstructured road detection is a key step of the Unmanned Guided Vehicle (UGV) system for road following. In traditional methods, kinds of features are combined to improve the effect, but few of them explains the reason to choose feature descriptors. In this paper, we try to find a way that how to choose feature descriptors. First, support vector machine technology is used to analyze the importance among these common feature descriptors during the road detection process. A series of features are analyzed to show their ability to detect road surface from background. Then, a mass of experiment results verify the correct of our analysis. At last, a novel unstructured road detection algorithm based on hybrid features is proposed. Experiments conducted on actual roads illustrate the effective performance of the proposed algorithm.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Erke Shang
AU  - Xiangjing An
AU  - Lei Ye
AU  - Meiping Shi
AU  - Hongtao Xue
PY  - 2014/05
DA  - 2014/05
TI  - Unstructured road detection based on hybrid features
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 926
EP  - 929
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.225
DO  - 10.2991/iccia.2012.225
ID  - Shang2014/05
ER  -