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Authors: Raluca Brehar ; Moldovan Flavia ; Attila Füzes and Radu Dănescu

Affiliation: Computer Science Department, Technical University of Cluj-Napoca, Romania

Keyword(s): Object Detection, Monocular Depth Estimation, Cyclist Detection, Collision Warning.

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.

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Paper citation in several formats:
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; ISSN 2184-2809, SciTePress, pages 190-196. DOI: 10.5220/0012984000003822

@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},
issn={2184-2809},
}

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
IS - 2184-2809
AU - Brehar, R.
AU - Flavia, M.
AU - Füzes, A.
AU - Dănescu, R.
PY - 2024
SP - 190
EP - 196
DO - 10.5220/0012984000003822
PB - SciTePress