Abstract The localization of painted road markings is a key aspect of environment reconstruction in urban, rural, and highway areas, allowing a precise definition of the safely drivable area in front of the vehicle. Lane detection algorithms are largely exploited by active safety systems in the automotive field, with the aim of warning the driver against unintended road departures, but are also essential in fully autonomous vehicles, since they complement the data coming from other sources, like digital maps, making it possible to navigate precisely even in complex scenarios. This chapter introduces potential approaches and requirements for lane detection and describes in detail one of such algorithms and its results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Perception Tasks: Lane Detection


    Contributors:

    Published in:

    Publication date :

    2012-01-01


    Size :

    11 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Perception Tasks: Obstacle Detection

    Debattisti, Stefano | Springer Verlag | 2012


    Perception Tasks: Traffic Sign Recognition

    Dr. Porta, Pier Paolo | Springer Verlag | 2012


    Lane/object detection and tracking perception system for autonomous vehicles

    CHOE TAE EUN / ZHU JUN / CHEN I-KUEI et al. | European Patent Office | 2021

    Free access

    Lane Information Perception Network for HD Maps

    Yan, Chao / Zheng, Chao / Gao, Chao et al. | IEEE | 2020


    LANE DETECTION DEVICE AND LANE DETECTION METHOD

    OKANO KENJI | European Patent Office | 2016

    Free access