The principle of a system for training motorcyclists using automatic analysis of telemetry data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F24%3A00013472" target="_blank" >RIV/46747885:24220/24:00013472 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The principle of a system for training motorcyclists using automatic analysis of telemetry data
Original language description
This article describes the principle of a system designed to improve the quality of teaching and training of motorcyclists. From the user‘s point of view, the system consists of telemetry data acquisition hardware, a mobile application and a web application. The system should help driving school instructors to better and faster recognize the mistakes of the motorcycle driver in connection with his control. The data from the drive mainly consists of the values of the accelerometer and gyroscope in three axes and the exact geographical position (coordinates from the navigation system). These data are important for evaluating the behavior of the motorcycle driver in certain model situations, such as correct cornering, correct behavior before and after the curve, intersection, etc. The system also includes a neural network model, which, with a sufficient amount of data from driving on the polygon, can evaluate the quality of the student‘s driving by itself.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/CK03000186" target="_blank" >CK03000186: Improving the education and training of motorcyclists with the help of software for automatic analysis of telemetry data and artificial intelligence algorithms</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů