The steering system of an automobile serves as the initial point of contact for the driver and is a crucial determinant in the purchasing choice of the vehicle. The present steering system is equipped with a singular Electric Power Assisted Steering (EPAS) map, resulting in a consistent steering sensation during maneuvers conducted at both low and high velocities. Certain vehicles are equipped with a steering system that includes fixed driving modes that require manual intervention. This paper presents a proposed Machine Learning based Adaptive Steering System that aims to address the requirements and limitations of fixed mode steering systems. The system is designed to automatically transition between comfort and sports modes, providing users with the desired soft or hard steering feel. The system utilizes vehicle response to driver input in order to identify driving patterns, subsequently adjusting steering assist and torque automatically. The system consists of driving pattern recognition module which classifies driver intention into sport or comfort driving. The system functionality is supported by the existing vehicle CAN data executing in real-time. Decision tree algorithm is employed to classify the driving patterns, with a physical data based accuracy rate of 98%. Additionally, mode holding logic is introduced in the system to avoid fluctuations between the two modes. The system has been effectively validated through the execution of maneuvers such as double lane changes and high-speed cornering both in digital and physical domains.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Steering System for Improved User Experience


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Deore, Dhruv (Autor:in) / Sheth, Malav (Autor:in) / Bhambri, Mihir (Autor:in) / Iqbal, Shoaib (Autor:in) / Salunkhe, Swapnil (Autor:in)

    Kongress:

    Symposium on International Automotive Technology ; 2024



    Erscheinungsdatum :

    16.01.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    User experience insight : steering experience design through meaningful incorporation

    Gkouskos, Dimitrios / Chalmers tekniska högskola | TIBKAT | 2016


    Improved steering system, steering system arrangement and method for steering control

    HULTEN JOHN / PEARL JEFFREY / MARKSTROM LARS | Europäisches Patentamt | 2024

    Freier Zugriff

    ADAPTIVE STEERING

    HOOGENDOORN GERBEN | Europäisches Patentamt | 2025

    Freier Zugriff

    IMPROVED STEERING SYSTEM, A STEERING ARRANGEMENT AND A METHOD FOR STEERING CONTROL

    HULTÉN JOHAN / POHL JOCHEN / MARKSTRÖM LARS | Europäisches Patentamt | 2024

    Freier Zugriff

    AN IMPROVED STEERING SYSTEM, A STEERING SYSTEM ARRANGEMENT AND A METHOD FOR STEERING CONTROL

    HULTÉN JOHAN / POHL JOCHEN / MARKSTRÖM LARS | Europäisches Patentamt | 2023

    Freier Zugriff