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Real-Time Asphalt Pothole Detection Using the YOLOv5 Algorithm and the Nvidia Jetson Nano Embedded Board Cover

Real-Time Asphalt Pothole Detection Using the YOLOv5 Algorithm and the Nvidia Jetson Nano Embedded Board

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section
Volume 69 (2023): Issue 4 (December 2023)
By: Marius-Emanuel Obreja,  Dan-Marius Dobrea and  Rareş-Petru Ibănişteanu  
Open Access
|Feb 2025

Authors

Marius-Emanuel Obreja

marius-emanuel.obreja@academic.tuiasi.ro

“Gheorghe Asachi” Technical University of Iași, Faculty of Electronics, Telecommunications and Information Technology, Iași, Romania

Dan-Marius Dobrea

“Gheorghe Asachi” Technical University of Iași, Faculty of Electronics, Telecommunications and Information Technology, Iași, Romania
Institute of Computer Science, Romanian Academy Iași Branch, Romania

Rareş-Petru Ibănişteanu

“Gheorghe Asachi” Technical University of Iași, Faculty of Electronics, Telecommunications and Information Technology, Iași, Romania
DOI: https://doi.org/10.2478/bipie-2023-0022 | Journal eISSN: 2537-2726 | Journal ISSN: 1223-8139
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Language: English
Page range: 57 - 67
Submitted on: Sep 2, 2024
|
Accepted on: Dec 29, 2024
|
Published on: Feb 21, 2025
Published by: Gheorghe Asachi Technical University of Iasi
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Object detection,
artificial intelligence,
deep learning,
smart city,
autonomous vehicles
Related subjects:
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Automation,
Electronics,
Energy engineering

© 2025 Marius-Emanuel Obreja, Dan-Marius Dobrea, Rareş-Petru Ibănişteanu, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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