The urban driving environment is a complex and demanding one, requiring increasingly complex sensors for the driving assistance systems. These sensors must be able to analyze the complex scene and extract all the relevant information, while keeping the response time as low as possible. The sensor presented in this paper answers to the requirements of the urban scenario through a multitude of detection modules, built on top of a hybrid (hardware plus software) dense stereo reconstruction engine. The sensor is able to detect and track clothoid and non-clothoid lanes, cars, pedestrians (classified as such), and drivable areas in the absence of lane markings. The hybrid stereovision engine and the proposed detection algorithms allow accurate sensing of the demanding urban scenario at a high frame rate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision




    Publication date :

    2007-06-01


    Size :

    1384510 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision

    Nedevschi, S. / Danescu, R. / Marita, T. et al. | British Library Conference Proceedings | 2007


    Stereovision-based sensor for intersection assistance

    Nedevschi, S. / Danescu, R. / Marita, T. et al. | Tema Archive | 2009


    Stereovision-Based Sensor for Intersection Assistance

    Nedevschi, S. / Danescu, R. / Marita, T. et al. | British Library Conference Proceedings | 2009


    Obstacle detection based on dense stereovision for urban ACC systems

    Pocol, Ciprian / Nedevschi, Sergiu / Meinecke, Marc-Michael | Tema Archive | 2008


    Stereovision-based 3D obstacle detection for automotive safety driving assistance

    Ventroux, Nicolas / Schmit, Renaud / Pasquet, Frederic et al. | IEEE | 2009