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Efficient Vehicle Detection and Classification Algorithm Using Faster R-CNN Models Cover

Efficient Vehicle Detection and Classification Algorithm Using Faster R-CNN Models

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 18 (2024): Issue 4 (December 2024)
By: ,  ,   and    
Open Access
|Dec 2024
Authors

Authors

Imad EL Mallahi

imade.elmallahi@usmba.ac.ma

Sidi Mohamed Ben Abdellah University, Faculty of Sciences, Department of Computer Sciences, Fez, Morocco

Jamal Riffi

jamal.riffii@usmba.ac.ma

Sidi Mohamed Ben Abdellah University, Faculty of Sciences, Department of Computer Sciences, Fez, Morocco

Hamid Tairi

hamid.tahiri@usmba.ac.ma

Sidi Mohamed Ben Abdellah University, Faculty of Sciences, Department of Computer Sciences, Fez, Morocco

Mohamed Adnane Mahraz

hamid.tairi@usmba.ac.ma

Sidi Mohamed Ben Abdellah University, Faculty of Sciences, Department of Computer Sciences, Fez, Morocco
DOI: https://doi.org/10.14313/jamris/4-2024/33 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 86 - 93
Submitted on: Mar 16, 2022
Accepted on: Apr 3, 2024
Published on: Dec 10, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
classification,
deep learning,
vehicle detection video surveillance,
traffic estimation,
efficient R-CNN,
traffic detection,
convolutional neural network
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 Imad EL Mallahi, Jamal Riffi, Hamid Tairi, Mohamed Adnane Mahraz, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2024): Issue 4 (December 2024)
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