In this paper we evaluate the use of a laser scanner for future advanced driver assistance systems. We focus on the important task of predicting the target vehicle for longitudinal ego vehicle control. Our motivation is to decrease the reaction time of existing systems during cut-in maneuvers of other traffic participants. A state-of-the-art laser scanner, the Ibeo Scala B2 R , is presented, providing its sensing characteristics and the subsequent high level object data output. We evaluate the performance of the scanner towards object tracking with the help of a GPS real time kinematics system on a test track. Two designed scenarios show phases with constant distance and velocity as well as dynamic motion of the vehicles. We provide the results for the error in position and velocity of the scanner and furthermore, review our algorithm for target vehicle prediction. Finally we show the potential of the laser scanner with the estimated error, that leads to a decrease of up to 40% in reaction time with best conditions.


    Access

    Download


    Export, share and cite



    Title :

    ANALYSIS OF THE PERFORMANCE OF A LASER SCANNER FOR PREDICTIVE AUTOMOTIVE APPLICATIONS


    Contributors:
    J Zeisler (author) / H.-G. Maas (author)


    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Automotive applications for the ALASCA laser scanner

    Nitsche, B. / Schulz, R. | Tema Archive | 2004


    Laser scanner based road surface estimation for automotive applications

    Bouzouraa, Mohamed Essayed / Kellner, Martin / Hofmann, Ulrich et al. | IEEE | 2014



    Automotive laser applications

    British Library Conference Proceedings | 1995


    The new Automotive Laser Scanner - Technical Results of a cooperative development process -

    Wiesner, S. / Schulz, R. / VDI | British Library Conference Proceedings | 2003