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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driving Behavior Analysis Software for AI-Driven Autonomous Vehicles


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX SAE World Congress Experience ; 2022



    Publication date :

    2022-03-29




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    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 | European Patent Office | 2021

    Free access

    Adaptation of driving behavior of autonomous vehicles

    WAEDEKIN DANIEL | European Patent Office | 2023

    Free access

    Data driven map updating system for autonomous driving vehicles

    ZHU FAN | European Patent Office | 2019

    Free access