The principle of a system for training motorcyclists using automatic analysis of telemetry data

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The principle of a system for training motorcyclists using automatic analysis of telemetry data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The principle of a system for training motorcyclists using automatic analysis of telemetry data

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/CK03000186" target="_blank" >CK03000186: Zkvalitnění výuky a výcviku motocyklistů s pomocí software pro automatickou analýzu telemetrických dat a algoritmů umělé inteligence</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

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