The autonomy of a vehicle can be achieved by a proper use of the information acquired with the sensors. Real-sized autonomous vehicles are expensive to acquire and to test on; however, the main algorithms that are used in those cases are similar to the ones that can be used for smaller prototypes. Due to these budget constraints, this work uses the Duckiebot as a testbed to try different algorithms as a first step to achieve full autonomy. This paper presents a methodology to properly use visual feedback, with the information of the robot camera, in order to detect the lane of a circuit and to drive the robot accordingly.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lane Following with a Duckiebot Vehicle using Visual Feedback


    Contributors:


    Publication date :

    2019-11-01


    Size :

    1673143 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Visual ego-vehicle lane assignment using Spatial Ray features

    Kuhnl, Tobias / Kummert, Franz / Fritsch, Jannik | IEEE | 2013



    ENHANCED VEHICLE LATERAL CONTROL (LANE FOLLOWING/LANE KEEPING/LANE CHANGING CONTROL) FOR TRAILERING VEHICLES

    LEE JIN-WOO / LITKOUHI BAKHTIAR B | European Patent Office | 2017

    Free access

    Enhanced vehicle lateral control (lane following/lane keeping/lane changing control) for trailering vehicles

    LEE JIN-WOO / LITKOUHI BAKHTIAR B | European Patent Office | 2017

    Free access

    Non-Lane-Based Car-Following Model with Visual Angle Information

    Jin, Sheng / Wang, Dian-Hai / Yang, Xi-Rui | Transportation Research Record | 2011