Road Lane Line Detection Based on ML and DL Techniques
| dc.contributor.author | Chenene, Soumia | |
| dc.contributor.author | Supervisor: Gadri, Said | |
| dc.date.accessioned | 2023-07-09T09:43:48Z | |
| dc.date.available | 2023-07-09T09:43:48Z | |
| dc.date.issued | 2023-06-10 | |
| dc.description.abstract | Lane detection is an important technology in driving assistance systems and smart cars, intended to identify and track lane lines on highways and public streets. Line detection is crucial to maintaining traffic safety and achieving safe and efficient driving. Many algorithms have developed in the field of machine learning over the past years, especially in the field of deep learning, which is an important branch of machine learning. As programming tools, we used Python, Open CV, which is the most widely used in this field. I created an application that warns the driver if the line is crossed on the road, intentionally or unintentionally. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/40107 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of M'sila | en_US |
| dc.subject | machine learning, deep learning, lane line detection, neural networks, selfdriving cars. | en_US |
| dc.title | Road Lane Line Detection Based on ML and DL Techniques | en_US |
| dc.type | Thesis | en_US |