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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
