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High-Fidelity Interactive Motorcycle Driving Simulator with Motion Platform Equipped with Tension Sensors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00384253" target="_blank" >RIV/68407700:21260/25:00384253 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3390/s25134237" target="_blank" >https://doi.org/10.3390/s25134237</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/s25134237" target="_blank" >10.3390/s25134237</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    High-Fidelity Interactive Motorcycle Driving Simulator with Motion Platform Equipped with Tension Sensors

  • Original language description

    The paper presents the innovative approach to a high-fidelity motorcycle riding simulator based on VR (Virtual Reality)-visualization, equipped with a Gough-Stewart 6-DOF (Degrees of Freedom) motion platform. Such a solution integrates a real-time tension sensor system as a source for highly realistic motion cueing control as well as the servomotor integrated into the steering system. Tension forces are measured at four points on the mock-up chassis, allowing a comprehensive analysis of rider interaction during various maneuvers. The simulator is developed to simulate realistic riding scenarios with immersive motion and visual feedback, enhanced with the simulation of external influences-headwind. This paper presents results of a validation study-pilot experiments conducted to evaluate selected riding scenarios and validate the innovative simulator setup, focusing on force distribution and system responsiveness to support further research in motorcycle HMI (Human-Machine Interaction), rider behavior, and training.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sensors

  • ISSN

    1424-8220

  • e-ISSN

    1424-8220

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    13

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    22

  • Pages from-to

  • UT code for WoS article

    001527645400001

  • EID of the result in the Scopus database

    2-s2.0-105010336982