A Robust Real-Time Road Detection Algorithm Using Color and Edge Information

被引：5

作者：

Nam, Jae-Hyun ^{[1
]}

Yang, Seung-Hoon ^{[1
]}

Hu, Woong ^{[1
]}

Kim, Byung-Gyu ^{[1
]}

机构：

[1] Sun Moon Univ, Dept Comp Engn, Asan, South Korea

来源：

ADVANCES IN VISUAL COMPUTING, PT II (ISVC 2015) | 2015年 / 9475卷

关键词：

D O I：

10.1007/978-3-319-27863-6_49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A vision-based road detection technique is important for implementation of a safe driving assistance system. A major problem of vision-based road detection is sensitivity to environmental change, especially illumination change. A novel framework is proposed for robust road detection using a color model with a separable brightness component. Road candidate areas are selected using an adaptive thresholding method, then fast region merging is performed based on a threshold value. Extracted road contours are filtered using edge information. Experimental results show the proposed algorithm is robust in an illumination change environment.

引用

页码：532 / 541

页数：10

共 9 条

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