Real-Time Raindrop Detection Based on Deep Learning Algorithm
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 Ass...
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Galati University Press
2020-12-01
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Series: | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
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Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/4038 |
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doaj-96af473f9222490e8eebcb027aeeab552021-07-02T18:51:24ZengGalati University PressThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science2668-47482668-47562020-12-0143410.35219/mms.2020.4.09Real-Time Raindrop Detection Based on Deep Learning AlgorithmFlorin Bogdan MARIN0Mihaela MARIN1"Dunarea de Jos" University of Galati, Romania"Dunarea de Jos" University of Galati, Romania 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. https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/4038computer visionpassenger fatigue detectionAdvanced Driver Assistance System |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Florin Bogdan MARIN Mihaela MARIN |
spellingShingle |
Florin Bogdan MARIN Mihaela MARIN Real-Time Raindrop Detection Based on Deep Learning Algorithm The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science computer vision passenger fatigue detection Advanced Driver Assistance System |
author_facet |
Florin Bogdan MARIN Mihaela MARIN |
author_sort |
Florin Bogdan MARIN |
title |
Real-Time Raindrop Detection Based on Deep Learning Algorithm |
title_short |
Real-Time Raindrop Detection Based on Deep Learning Algorithm |
title_full |
Real-Time Raindrop Detection Based on Deep Learning Algorithm |
title_fullStr |
Real-Time Raindrop Detection Based on Deep Learning Algorithm |
title_full_unstemmed |
Real-Time Raindrop Detection Based on Deep Learning Algorithm |
title_sort |
real-time raindrop detection based on deep learning algorithm |
publisher |
Galati University Press |
series |
The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
issn |
2668-4748 2668-4756 |
publishDate |
2020-12-01 |
description |
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.
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topic |
computer vision passenger fatigue detection Advanced Driver Assistance System |
url |
https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/4038 |
work_keys_str_mv |
AT florinbogdanmarin realtimeraindropdetectionbasedondeeplearningalgorithm AT mihaelamarin realtimeraindropdetectionbasedondeeplearningalgorithm |
_version_ |
1721324344192270336 |