LANE DETECTION BASED ON GUIDED RANSAC

Yi Hu, You-Sun Kim, Kuang-Wook Lee, Sung-Jea Ko

Abstract

In this paper, a robust and real-time lane detection method is proposed. The method consists of two steps, the lane-marking detection and lane model fitting. After detecting the lane marking by the Intensity bump algorithm, we apply the post filters by constraining the parallelism of lane boundary. Then, a novel model fitting algorithm called Guided RANSAC is presented. The Guided RANSAC searches lanes from initial lane segments and the extrapolation of lane segments is used as the guiding information to elongate lane segments recursively. With the proposed method, the accuracy of the model fitting is greatly increased while the computational cost is reduced. Both theoretical and experimental analysis results are given to show the efficiency.

References

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Paper Citation


in Harvard Style

Hu Y., Kim Y., Lee K. and Ko S. (2010). LANE DETECTION BASED ON GUIDED RANSAC . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 457-460. DOI: 10.5220/0002832204570460


in Bibtex Style

@conference{visapp10,
author={Yi Hu and You-Sun Kim and Kuang-Wook Lee and Sung-Jea Ko},
title={LANE DETECTION BASED ON GUIDED RANSAC},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={457-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002832204570460},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - LANE DETECTION BASED ON GUIDED RANSAC
SN - 978-989-674-028-3
AU - Hu Y.
AU - Kim Y.
AU - Lee K.
AU - Ko S.
PY - 2010
SP - 457
EP - 460
DO - 10.5220/0002832204570460