This work is about the generation of driving styles for autonomous cars. Here, we propose a definition of driving style based on the partition of controller parameters for self-driving vehicles. The main contributions of this work are the following. 1) A methodology based on the controllers’ parameters for creating comfortable driving styles that can be used as autonomous cars’ operation modes. 2) A proposal to use virtual reality as a testbed for the evaluation of driving styles by users. 3) As an illustration of our methodology, we determine and evaluate distinguishable driving styles by partitioning the time-to-collision parameter of the Intelligent Driver Model (IDM) controller using the Just Noticeable Difference (JND). 4) A proposal of four driving styles that are equally preferable among passengers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A methodology for generating driving styles for autonomous cars


    Contributors:

    Published in:

    Publication date :

    2024-01-02


    Size :

    21 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Autonomous Driving Cars: Decision-Making

    Ramanathan, Prabhu / Kartik | Springer Verlag | 2020


    Learning driving styles for autonomous vehicles from demonstration

    Kuderer, Markus / Gulati, Shilpa / Burgard, Wolfram | IEEE | 2015


    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021


    Simulating autonomous driving styles: Accelerations for three road profiles

    Karjanto Juffrizal / Md. Yusof Nidzamuddin / Terken Jacques et al. | DOAJ | 2017

    Free access

    Self-driving Cars: An Overview of Various Autonomous Driving Systems

    Shreyas, V. / Bharadwaj, Skanda N. / Srinidhi, S. et al. | Springer Verlag | 2020