A Vision Based Warning System for Safe Distance Driving with Respect to Cyclists

Raluca Brehar, Moldovan Flavia, Attila Füzes, Radu Dănescu

2024

Abstract

Bicyclists are one category of vulnerable road users involved in many car accidents. In this context a framework for driver warning when safety distance with respect to bicyclists is low is developed. The approach realises on object detection, monocular distance estimation for developing the driver warning algorithm. The approach was tested on benchmark datasets and on real sequences in which a mobile phone camera was used for capturing the frames.

Paper Citation

in Harvard Style

Brehar R., Flavia M., Füzes A. and Dănescu R. (2024). A Vision Based Warning System for Safe Distance Driving with Respect to Cyclists. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 190-196. DOI: 10.5220/0012984000003822

in Bibtex Style

@conference{icinco24,
author={Raluca Brehar and Moldovan Flavia and Attila Füzes and Radu Dănescu},
title={A Vision Based Warning System for Safe Distance Driving with Respect to Cyclists},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2024},
pages={190-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012984000003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - A Vision Based Warning System for Safe Distance Driving with Respect to Cyclists
SN - 978-989-758-717-7
AU - Brehar R.
AU - Flavia M.
AU - Füzes A.
AU - Dănescu R.
PY - 2024
SP - 190
EP - 196
DO - 10.5220/0012984000003822
PB - SciTePress