Camera-based automated detection system for speed bumps and road defects

Ould zmirli, Amina

dc.contributor.author	Ould zmirli, Amina
dc.contributor.other	Larbes, Chérif, Directeur de thèse
dc.contributor.other	Kobzili, Elhaouari, Directeur de thèse
dc.date.accessioned	2024-10-17T14:24:43Z
dc.date.available	2024-10-17T14:24:43Z
dc.date.issued	2024
dc.identifier.other	EP00754
dc.identifier.uri	http://repository.enp.edu.dz/jspui/handle/123456789/11031
dc.description	Mémoire de Projet de Fin d’Études : Electronique : Alger, École Nationale Polytechnique : 2024	fr_FR
dc.description.abstract	The quality of road infrastructure is important for ensuring safe travel, yet hazards like potholes and speed bumps pose threats to vehicles and drivers. The Camera-Based Automated Detection System represents a cutting-edge technological endeavor to strengthen road safety through advanced computer vision techniques. The primary objective of this project is to develop a robust algorithm capable of accurately identifying various road anomalies by analyzing camera footage	fr_FR
dc.language.iso	en	fr_FR
dc.subject	Speed bumps	fr_FR
dc.subject	Road defects	fr_FR
dc.subject	Object detection	fr_FR
dc.subject	Computer vision	fr_FR
dc.subject	Automated detection system	fr_FR
dc.subject	Machine learning	fr_FR
dc.subject	YOLOv8	fr_FR
dc.subject	Road safety	fr_FR
dc.title	Camera-based automated detection system for speed bumps and road defects	fr_FR
dc.type	Thesis	fr_FR