• Acta Optica Sinica
  • Vol. 34, Issue 7, 715001 (2014)
Ding Weili*, Li Yong, Wang Wenfeng, and Cao Xiuyan
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/aos201434.0715001 Cite this Article Set citation alerts
    Ding Weili, Li Yong, Wang Wenfeng, Cao Xiuyan. Depth Estimation of Urban Road Image Based on Contour Understanding[J]. Acta Optica Sinica, 2014, 34(7): 715001 Copy Citation Text show less

    Abstract

    Estimating the depth of the road scene is a key step for intelligent transportation and robot navigation. A depth estimation algorithm for single static road image is presented. The algorithm obtains a series of closed areas of the image based on the edge growing segmentation algorithm. The statistic characteristics of each region are computed, including color, area, position, straight lines, vertical lines, and parallel lines. Based on these characteristics, the road vanishing point is further estimated, and the sky, road and vertical regions are estimated. The depth of the road image is estimated by using vanishing point and the statistic characteristics. The experimental results show that the proposed algorithm can effectively estimate the road vanishing point, as well as the road depth information.
    Ding Weili, Li Yong, Wang Wenfeng, Cao Xiuyan. Depth Estimation of Urban Road Image Based on Contour Understanding[J]. Acta Optica Sinica, 2014, 34(7): 715001
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