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Authors: Erkut Akdag ; Egor Bondarev and Peter H. N. De With

Affiliation: Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5612AZ, The Netherlands

Keyword(s): Vehicle Detection, Vehicle Classification, Vision in Transformer, CNN, Intelligent Transportation.

Abstract: An intelligent transportation system (ITS) is one of the core elements of smart cities, enhancing public safety and relieving traffic congestion. Detection and classification of critical vehicles, such as police cars and ambulances, passing through roadways form crucial use cases for ITS. This paper proposes a solution for detecting and classifying safety-critical vehicles on urban roadways using deep learning models. At present, a large-scale dataset for critical vehicles is not publicly available. The appearance scarcity of emergency vehicles and different coloring standards in various countries are significant challenges. To cope with the mentioned drawbacks and to address the unique requirements of our smart city project, we first generate a large-scale critical vehicle dataset, combining images retrieved from various sources with the support of the YOLO vehicle detection model. The classes of the generated dataset are: fire truck, police car, ambulance, military police car, dang erous truck, and standard vehicle. Second, we compare the performance of the Vision in Transformer (ViT) network against the traditional convolutional neural networks (CNNs) for the task of critical vehicle classification. Experimental results on our dataset reveal that the ViT-based solution reaches an average accuracy and recall of 99.39% and 99.34%, respectively. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Akdag, E.; Bondarev, E. and N. De With, P. (2022). Critical Vehicle Detection for Intelligent Transportation Systems. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-573-9; ISSN 2184-495X, SciTePress, pages 165-171. DOI: 10.5220/0010968900003191

@conference{vehits22,
author={Erkut Akdag. and Egor Bondarev. and Peter H. {N. De With}.},
title={Critical Vehicle Detection for Intelligent Transportation Systems},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2022},
pages={165-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010968900003191},
isbn={978-989-758-573-9},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Critical Vehicle Detection for Intelligent Transportation Systems
SN - 978-989-758-573-9
IS - 2184-495X
AU - Akdag, E.
AU - Bondarev, E.
AU - N. De With, P.
PY - 2022
SP - 165
EP - 171
DO - 10.5220/0010968900003191
PB - SciTePress