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Fast lane detection based on bird’s eye view and improved random sample consensus algorithm

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Abstract

In order to ensure the safety of drivers, Advanced Driving Assistance System (ADAS) has drawn more and more attention. The Lane Departure Warning system is one of the most important parts of ADAS. However, fast and stable lane marking detection is the precondition of it under complex background. In this paper, we proposed a new lane detection method through bird’s eye view and improved RANSAC (Random Sample Consensus) algorithm based on the inspiration that extraction of road features from remote sensed images. According to the bird’s eye view of the road image, we can recognize the line marking through Progressive Probabilistic Hough transform instead of lane detection. Then, the detected lines are grouped by a new distance-based weighting scheme and we can get the fields of candidate lanes. For each of the fields, lanes are refined through improved RANSAC algorithm and fitted by double models. Hence, the road orientation can be predicted by the curvature and straight line’s slope. At last, our experimental results indicated that the lane detection algorithm has good robustness and real-time under various road environment.

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Acknowledgements

This research has been funded by Guangxi Natural Science Foundation Project No. 2014GXNSFCA118014, Innovation of Guangxi Graduate Education No.XJYC2012020

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Authors and Affiliations

  1. School of Computer Science and Information Security, Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, China

    Yong Ding

  2. The third research institute of the ministry of public security, Shanghai, China

    Zheng Xu

  3. School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China

    Yubin Zhang & Ke Sun

Authors
  1. Yong Ding
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  2. Zheng Xu
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  3. Yubin Zhang
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  4. Ke Sun
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Correspondence to Zheng Xu.

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Ding, Y., Xu, Z., Zhang, Y. et al. Fast lane detection based on bird’s eye view and improved random sample consensus algorithm. Multimed Tools Appl 76, 22979–22998 (2017). https://doi.org/10.1007/s11042-016-4184-6

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  • DOI: https://doi.org/10.1007/s11042-016-4184-6

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