Lane detection is a key technique for intelligent vehicle driving. Aiming at the detection performance of existing lane detection algorithms, based on least square fitting, we propose a lane detection algorithm for structural road. The lane videos are gotten by the monocular camera installed in the car. Image preprocessing is applied to improve image contrast and then the image is segmented by improved Otsu. At last, the current lanes are extracted and equations are rebuilt by the least square fitting. The experiment results show that the proposed method has better accuracy and robustness compared to existing lane detection algorithms.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lane Detection Based on Least Square Fitting



    Published in:

    Advanced Materials Research ; 403-408 ; 4068-4072


    Publication date :

    2011-11-29


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Direct Least Square Fitting of Paracatadioptric Line Images

    Barreto, Joao P. / Araujo, Helder | IEEE | 2003


    Lane Geometry Reconstruction: Least Square Curve Fit Versus Kalman Filter

    Lin, C.-F. / Ulsoy, A. G. / LeBlanc, D. J. et al. | British Library Conference Proceedings | 1995


    Direct and specific least-square fitting of hyperbolae and ellipses

    O Leary, P. / Zsombor-Murray, P. | British Library Online Contents | 2004