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- W2883141961 abstract "Purpose This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes. Design/methodology/approach The proposed method includes two main stages: drivable region estimation and vanishing point detection. In drivable region estimation stage, the road image is segmented into a set of patches; then the drivable region is estimated by the patch-wise manifold ranking. In vanishing point detection stage, the LSD method is used to extract the straight lines; then a series of principles are proposed to remove the noise lines. Finally, the vanishing point is detected by a novel voting strategy. Findings The proposed method is validated on various unstructured road images collected from the real world. It is more robust and more efficient than the state-of-the-art method and the other three recent methods. Experimental results demonstrate that the detected vanishing point is practical for vision-sensor-based navigation in complex unstructured road scenes. Originality/value This paper proposes a patch-wise manifold ranking method to estimate the drivable region that contains most of the informative clues for vanishing point detection. Based on the removal of the noise lines through a series of principles, a novel voting strategy is proposed to detect the vanishing point." @default.
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- W2883141961 date "2019-01-21" @default.
- W2883141961 modified "2023-10-05" @default.
- W2883141961 title "Robust and efficient vanishing point detection in unstructured road scenes for assistive navigation" @default.
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- W2883141961 doi "https://doi.org/10.1108/sr-02-2018-0024" @default.
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