Autonomous Navigation for military unmanned ground vehicles requires the ability to act without human intervention in increasingly difficult environments such as off-road terrain and military operations in urban terrain (MOUT). One method to accomplish this is through the combination of a local perception sensor suite with an a priori route planner and a local guidance algorithm that provides an automated obstacle detection, classification, and avoidance capability. This paper will detail the feasibility of this approach based on preliminary test results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Perception and Autonomous Navigation Using a Priori Data


    Additional title:

    Sae Technical Papers



    Conference:

    SAE 2006 World Congress & Exhibition ; 2006



    Publication date :

    2006-04-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Perception and autonomous navigation using a priori data

    Conrad,K.L. / Galloway,J.R. / Irwin,W.P. et al. | Automotive engineering | 2006


    Enhancing Autonomous Train Safety Through A Priori-Map Based Perception

    Mahtani, Ankur / Chouchani, Nadia / Herbreteau, Maxime et al. | British Library Conference Proceedings | 2022



    Vision-based Perception for Autonomous Urban Navigation

    Bansal, Mayank / Das, Aveek / Kreutzer, Greg et al. | IEEE | 2008


    In-vehicle Roundabout Perception Supported by A Priori Map Data

    Raaijmakers, Marvin / Bouzouraa, Mohamed Essayed | IEEE | 2015