Numerous different road marking patterns are required to test advanced driver assistance systems and automated vehicles. These patterns are described in test protocols, e.g. from certifications, ratings and standards. Since proving ground operators possess only a confined space to provide these scenarios, solutions like agile alteration of road marking patterns are advisable. Furthermore, a high precision is necessary to comply with the specifications from the test protocols and to enable a high test-reproducibility. To achieve these goals mobile robots that follow determined trajectories can be used for pre-marking. Real-Time Kinematic (RTK) positioning can facilitate a high accuracy. Since proving ground operators or their users commonly have access to automated vehicles such as passenger cars or robotic target platforms, I recommend utilizing these for highly accurate pre-marking for temporary maneuver markings on test tracks. In order to test this concept, a truck equipped with GPS, UHF, LTE antennas, a driving controller and a pre-marking apparatus, was setup to follow predetermined trajectories on the Mercedes-Benz proving ground in Immendingen, Germany. Measurements of the specified pre-marked lane width returned mean accuracies of 98.74 and 99.72 % for two individual maneuver markings. Due to a pre-marking velocity of 4 m/s, the time needed to apply the pre-marker is low. The results indicate application potentials for proving ground operators and testing service providers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using RTK-Based Automated Vehicles to Pre-Mark Temporary Road Marking Patterns for Test Maneuvers of Automated Vehicles


    Contributors:


    Publication date :

    2022-03-07


    Size :

    5413391 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Lane Change Maneuvers for Automated Vehicles

    Nilsson, Julia | Online Contents | 2017


    Lane Change Maneuvers for Automated Vehicles

    Nilsson, Julia / Brannstrom, Mattias / Coelingh, Erik et al. | IEEE | 2017


    Lane Change Maneuvers for Automated Vehicles

    Nilsson, Julia | Online Contents | 2016


    Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning

    Häfner, Bernhard / Jiru, Josef / Schepker, Henning et al. | BASE | 2021

    Free access

    Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning

    Häfner, Bernhard / Jiru, Josef / Schepker, Henning et al. | Fraunhofer Publica | 2021

    Free access