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Authors: Zakaria Charouh 1 ; 2 ; Amal Ezzouhri 1 ; 2 ; Mounir Ghogho 2 ; 3 and Zouhair Guennoun 1

Affiliations: 1 ERSC Team, Mohammadia Engineering School, Mohammed V University in Rabat, Morocco ; 2 International University of Rabat, College of Engineering & Architecture, TICLab, Morocco ; 3 University of Leeds, Faculty of Engineering, Leeds, U.K.

Keyword(s): Driving Behavior, Headway, Safety Distance, Roadside Camera, Computer Vision, Deep Learning.

Abstract: We propose a system for monitoring the headway and following distance using a roadside camera and deep learning-based computer vision techniques. The system is composed of a vehicle detector and tracker, a speed estimator and a headway estimator. Both motion-based and appearance-based methods for vehicle detection are investigated. Appearance-based methods using convolutional neural networks are found to be most appropriate given the high detection accuracy requirements of the system. Headway estimation is then carried out using the detected vehicles on a video sequence. The following distance estimation is carried out using the headway and speed estimations. We also propose methods to assess the performance of the headway and speed estimation processes. The proposed monitoring system has been applied to data that we have collected using a roadside camera. The root mean square error of the headway estimation is found to be around 0.045 seconds.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Charouh, Z.; Ezzouhri, A.; Ghogho, M. and Guennoun, Z. (2021). Headway and Following Distance Estimation using a Monocular Camera and Deep Learning. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 845-850. DOI: 10.5220/0010253308450850

@conference{icaart21,
author={Zakaria Charouh. and Amal Ezzouhri. and Mounir Ghogho. and Zouhair Guennoun.},
title={Headway and Following Distance Estimation using a Monocular Camera and Deep Learning},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={845-850},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010253308450850},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Headway and Following Distance Estimation using a Monocular Camera and Deep Learning
SN - 978-989-758-484-8
IS - 2184-433X
AU - Charouh, Z.
AU - Ezzouhri, A.
AU - Ghogho, M.
AU - Guennoun, Z.
PY - 2021
SP - 845
EP - 850
DO - 10.5220/0010253308450850
PB - SciTePress

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