Reliable detection of non-traversable hazards is a key requirement for off-road autonomous navigation. A detailed description of each obstacle detection algorithm and their performance on the surveyed obstacle course is presented in this paper.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Evaluation of stereo vision obstacle detection algorithms for off-road autonomous navigation


    Contributors:

    Conference:

    AUVSI''s Unmanned Systems North America ; 2005 ; Baltimore, MD, United States


    Publication date :

    2005-06-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Obstacle Detection with Stereo Vision for Off-Road Vehicle Navigation

    Broggi, A. / Caraffi, C. / Fedriga, R.I. et al. | IEEE | 2005


    Stereo-Based Autonomous Navigation and Obstacle Avoidance

    Mendes, Caio Cesar Teodoro / Wolf, Denis Fernando | Tema Archive | 2013


    Vision Based Obstacle Detection and Navigation of an Autonomous Vehicle

    Nandikolla, Vidya K. / Ferman, Keven / Barragan, Eddie et al. | British Library Conference Proceedings | 2021



    Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

    Manduchi, R. / Castano, A. / Talukder, A. et al. | British Library Online Contents | 2005