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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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UT code for WoS article
001527645400001
EID of the result in the Scopus database
2-s2.0-105010336982