Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS

Saeid Edriss, Paolo Boatto, Giuseppe Annino, Francesca Campoli, Lucio Caprioli, Nunzio Lanotte, Emilio Panichi, Cristian Romagnoli, Vincenzo Bonaiuto

2023

Abstract

Measuring instantaneous speed and engine parameters and accurately assessing trajectories is paramount in evaluating racing performance in motorsports. DAQuino is a general-purpose acquisition system that can configure these specific sports applications. This paper deals with an application of such a DAQ, based on RTK-enhanced GPS, suited for the telemetry acquisition of a kart’s parameters and driver performance assessment. The proposed system measuring the kart’s position with a maximum error of a few centimetres can assess the effectiveness of the trajectories.

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Paper Citation


in Harvard Style

Edriss S., Boatto P., Annino G., Campoli F., Caprioli L., Lanotte N., Panichi E., Romagnoli C. and Bonaiuto V. (2023). Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS. In Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS; ISBN 978-989-758-673-6, SciTePress, pages 82-90. DOI: 10.5220/0012186900003587


in Bibtex Style

@conference{icsports23,
author={Saeid Edriss and Paolo Boatto and Giuseppe Annino and Francesca Campoli and Lucio Caprioli and Nunzio Lanotte and Emilio Panichi and Cristian Romagnoli and Vincenzo Bonaiuto},
title={Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS},
booktitle={Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS},
year={2023},
pages={82-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012186900003587},
isbn={978-989-758-673-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS
TI - Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS
SN - 978-989-758-673-6
AU - Edriss S.
AU - Boatto P.
AU - Annino G.
AU - Campoli F.
AU - Caprioli L.
AU - Lanotte N.
AU - Panichi E.
AU - Romagnoli C.
AU - Bonaiuto V.
PY - 2023
SP - 82
EP - 90
DO - 10.5220/0012186900003587
PB - SciTePress