Lane detection with double vanishing points estimation

doi:10.13474/j.cnki.11-2246.2020.0004

Abstract

Abstract: In automatic vehicles or advanced driving assistance systems, lane detection provides a way to guide the vehicle to drive along its own lane. An efficient lane detection method is proposed in this paper. Firstly, the lane features are extracted, and the lines are generated from vanishing points to image bottom. Then the lines crossing most features are selected and vanishing points are updated by the overlap between features and selected lines. Last step will be repeated until stable vanishing points are obtained. The last selected lines are most likely to be lane lines. Finally, validate and select the best lane lines. The proposed method has been tested on a public dataset. The experimental results show that the method can improve robustness under real-time automated driving.

Key words: lane detection, histogram, double vanishing points estimation, overlap, automated driving

CLC Number:

P208

CHEN Shizeng, LI Bijun, ZHOU Jimiao. Lane detection with double vanishing points estimation[J]. Bulletin of Surveying and Mapping, 2020, 0(1): 16-20.

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