Real-Time Raindrop Detection Based on Deep Learning Algorithm

Auteur/ices

  • Florin Bogdan MARIN "Dunarea de Jos" University of Galati, Romania
  • Mihaela MARIN "Dunarea de Jos" University of Galati, Romania

DOI :

https://doi.org/10.35219/mms.2020.4.09

Mots-clés :

computer vision, passenger fatigue detection, Advanced Driver Assistance System

Résumé

The goal of this research is to develop an in-vehicle computerized system able to detect the raindrops on windshield and warn the driver and start the windscreen wiper in order to avoid that computer vision to acquire blurred images. This feature is important in order to develop Advanced Driver Assistance System based on computer vision. The system should be able specific scenarios that do not allow the ADAS computer vision feature to work properly. Rain drop detection will allow a more reliable Advanced Driver Assistance System.

Creative Commons License

Téléchargements

Les données relatives au téléchargement ne sont pas encore disponibles.

Téléchargements

Publiée

2020-12-15

Numéro

Rubrique

Articles

Comment citer

1.
Real-Time Raindrop Detection Based on Deep Learning Algorithm. Ann_UGAL_MMS [Internet]. 15 déc. 2020 [cité 2 nov. 2026];43(4):47-50. Disponible sur: https://ojs.ugal.ro/index.php/mms/article/view/4038

Articles les plus lus par le ou les mêmes auteur/ices

1 2 3 4 5 6 > >>