Development of Deep CNN Networks for Embedded Lame and Pedestrian Detection Functions in an Active Driver Assistance System for Urban Environments
| dc.contributor.advisor | Aimad EL MOURABIT | |
| dc.contributor.author | OUSSOUADDI Mustapha | |
| dc.date.accessioned | 2026-04-09T09:08:47Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://toubkal.imist.ma/handle/123456789/488 | |
| dc.identifier.uri | https://doi.org/10.83129/toubkal-4 | |
| dc.language.iso | en | |
| dc.publisher | Ecole Nationale des Sciences Appliquées de Tanger | fr_FR |
| dc.subject | deep learning | fr_FR |
| dc.subject | convolutional neural networks | fr_FR |
| dc.subject | pedestrian detection | fr_FR |
| dc.subject | embedded systems | fr_FR |
| dc.subject | ADAS | fr_FR |
| dc.subject.other | Ingénierie et Technologie | |
| dc.subject.specific | Génie Électrique | |
| dc.subject.specific | Électronique | |
| dc.subject.specific | Informatique | |
| dc.title | Development of Deep CNN Networks for Embedded Lame and Pedestrian Detection Functions in an Active Driver Assistance System for Urban Environments | fr_FR |