This article presents a implementation of a two- dimensional tracking filter in an automotive application. A headway alert system is a considered application for this tracking system, whose key component is a Kalman filter estimating and filtering two-dimensional trajectories of vehicles and various other obstacles that may occur in a traffic scenario. A reliable tracking system is essential for developing a robust headway alert application to identify obstacles and to avoid false warnings. The data, on which the Kalman filter algorithm is based on, is provided by a prototype laser range finder mounted in front of the host car and delivering range and angular data from obstacles in front. These data are filtered and combined with ego-motion data from the host car to decide whether to warn the driver about a potential threat.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Laser range finder based obstacle tracking by means of a two-dimensional Kalman filter


    Contributors:
    Hoehmann, L. (author) / Kummert, A. (author)


    Publication date :

    2007


    Size :

    6 Seiten, 7 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Laser Range-Finder Based Obstacle Avoidance for Quadcopters

    Shougaev, Stanislav / Idan, Moshe | AIAA | 2019


    METHOD FOR DETECTING FLOOR OBSTACLE USING LASER RANGE FINDER

    CHUNG WOOJIN / LEE HYUNSUK | European Patent Office | 2017

    Free access

    Obstacle detection on road with a laser range finder

    Bessiere,K. / LETI(CEA-Technologies Avancees),FR | Automotive engineering | 1995


    Obstacle Detection on Road with a Laser Range Finder

    Bessiere, K. | British Library Conference Proceedings | 1995


    Novel tracking laser range finder (T-LRF)

    Humphrey, Malcolm / Fan, Pu | British Library Conference Proceedings | 2022