Accepting autonomous vehicles as a reliable and safe transportation service requires the realization of smooth, natural, human-like vehicle control. The plethora of driving data captured from modern cars is a key enabler for solving this problem. The intelligent analysis, filtering and modulation of human driving behavioral data for improving the passenger ride and safety experience is discussed in this paper. The core idea of the proposed solution is the automatic extraction of driving features followed by the conditioning and balancing of selected key features and driving attributes used to train machine learning models responsible for vehicle motion planning and control. For this task, a DRIVing Behavior Analysis Software (DRIVBAS) was developed with the purpose of increasing the efficiency and the transparency of data analytics and machine learning activities as applied to autonomous vehicles. The overall functionality and implementation of the proposed solution is demonstrated with real-world case study results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driving Behavior Analysis Software for AI-Driven Autonomous Vehicles


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Souflas, Ioannis (Autor:in) / Songur, Noyan (Autor:in)

    Kongress:

    WCX SAE World Congress Experience ; 2022



    Erscheinungsdatum :

    2022-03-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Driving Behavior Analysis Software for AI-Driven Autonomous Vehicles

    Songur, Noyan / Souflas, Ioannis | British Library Conference Proceedings | 2022


    Driving Behavior Analysis Software for AI-Driven Autonomous Vehicles

    Songur, Noyan / Souflas, Ioannis | British Library Conference Proceedings | 2022


    PLANNING DRIVEN PERCEPTION SYSTEM FOR AUTONOMOUS DRIVING VEHICLES

    ZHU FAN / KONG QI | Europäisches Patentamt | 2021

    Freier Zugriff

    Adaptation of driving behavior of autonomous vehicles

    WAEDEKIN DANIEL | Europäisches Patentamt | 2023

    Freier Zugriff

    Data driven map updating system for autonomous driving vehicles

    ZHU FAN | Europäisches Patentamt | 2019

    Freier Zugriff