New Speed Limit Recognition System: Software and Hardware Validation

Nesrine Triki, Nesrine Triki, Mohamed Karray, Mohamed Ksantini

2024

Abstract

Recent advancements in intelligent driving have led to the integration of various automated systems into vehicles, including Speed Limit Recognition systems, which play a crucial role in enhancing road safety and autonomous driving technologies. This paper presents a comprehensive approach to Speed Limit Recognition, based on three modules: detection, classification, and the fusion of machine learning and deep learning classifiers. The proposed approach achieves impressive results, with an accuracy of 99.98% using Dempster Shafer theory and 99.96% with the voting technique. The system’s performance is rigorously evaluated through simulation and hardware validation using a Raspberry Pi 4 board. Experimental results indicate high performance rates across nine classes from the German Traffic sign Recognition Benchmark dataset in an average processing time of 0.15 seconds.

Paper Citation

in Harvard Style

Triki N., Karray M. and Ksantini M. (2024). New Speed Limit Recognition System: Software and Hardware Validation. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 368-375. DOI: 10.5220/0012351000003636

in Bibtex Style

@conference{icaart24,
author={Nesrine Triki and Mohamed Karray and Mohamed Ksantini},
title={New Speed Limit Recognition System: Software and Hardware Validation},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={368-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012351000003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - New Speed Limit Recognition System: Software and Hardware Validation
SN - 978-989-758-680-4
AU - Triki N.
AU - Karray M.
AU - Ksantini M.
PY - 2024
SP - 368
EP - 375
DO - 10.5220/0012351000003636
PB - SciTePress