NDLI: Combining dark channel prior and color cues for road following in outdoor environments

Content Provider	IEEE Xplore Digital Library
Author	Wenhui Zhou Lili Lin Xuehui Wei Bin Lou
Copyright Year	2010
Description	Author affiliation: Hangzhou Dianzi University, College of Computer and software, China (Wenhui Zhou; Xuehui Wei; Bin Lou) \|\| Zhejiang Gongshang University, College of Information and Electronic Engineering, Hangzhou, China (Lili Lin)
Abstract	This paper proposes a road following method in outdoor environments based on dark channel prior and color cues, which integrates the atmospheric transmission estimation, mean shift filtering and graph cuts algorithm together. The main idea is fusing scene depth cue with color information in six-dimensional feature space for road image following. Specifically, the dark channel prior based transmission estimation is firstly employed to recover depth cue. Then the mean shift filtering in the weighted color-depth space is proposed. Finally, graph cuts algorithm is applied to achieve the final road detection. Experimental results indicate the proposed method has excellent performance in complex outdoor environments.
Starting Page	2197
Ending Page	2200
File Size	662817
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5653025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Image color analysis Pixel Image edge detection Estimation Channel estimation Kernel road following dark channel prior mean shift graph cuts
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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