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dc.contributor.author |
➢ HADJ SAID YAHIA ➢ CHIHANI ROSTOM ➢ TOUMI ABDERRAHMANE |
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dc.date.accessioned |
2022-11-15T10:16:56Z |
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dc.date.available |
2022-11-15T10:16:56Z |
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dc.date.issued |
2022-06-22 |
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dc.identifier.uri |
https://dspace.univ-bba.dz:443/xmlui/handle/123456789/2468 |
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dc.description.abstract |
Computer Vision is a branch of artificial intelligence that aims to allow a machine to
understand what it "sees" when it connects to one or more cameras. With the widespread use of
digital images, Computer Vision techniques proved to be an indispensable tool in diverse
applications such as video surveillance, video compression, medical imaging, robotics, human
computer interaction. Our project focuses on studying a method for lane line detection in selfdriving cars and doing the implementation in Raspberry Pi 4 |
en_US |
dc.language.iso |
fr |
en_US |
dc.publisher |
faculté des sciences et de la technologie univ bba |
en_US |
dc.relation.ispartofseries |
;EL/L/2022/10 |
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dc.title |
Détection de lignes par OpenCV pour une Voiture Autonome |
en_US |
dc.type |
Thesis |
en_US |
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