A fast and self-adaptive color stereo vision matching; A first step for road obstacle detection

被引：0
|
作者：
Cabani, Iyadh [1 ]
Toulminet, Gwenaelle [1 ]
Bensrhair, Abdelaziz [1 ]
机构：
[1] INSA, CNRS, Lab PSI FRE 2645, Campus Madrillet,Ave Univ, F-76801 St Etienne, France
来源：
2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article, we present a fast and self-adaptive color stereo vision matching algorithm which is a first step in the conception of a color stereo vision system for road obstacle detection. Our color matching approach associates vertical edges points using dynamic programming. Edges points are extracted using the operator color declivity. Performance of segmentation and matching are discussed. Experimental results are shown.
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页码：61 / +
页数：2
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