Camera-based automated detection system for speed bumps and road defects
| 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.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.identifier.other | EP00754 | |
| dc.identifier.uri | https://repository.enp.edu.dz/handle/123456789/11031 | |
| 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 |