Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/3271
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dc.contributor.authorPhan, Thi Lan Anh-
dc.date.accessioned2023-10-25T04:15:22Z-
dc.date.available2023-10-25T04:15:22Z-
dc.date.issued2023-06-
dc.identifier.issn2278-4721 (e)-
dc.identifier.urihttp://elib.vku.udn.vn/handle/123456789/3271-
dc.descriptionResearch Inventy: International Journal of Engineering And Science; Vol.13, Issue 6; pp: 79-87vi_VN
dc.description.abstractToday, automatic technology is being researched for application in all aspects of life from the applications of the home to the industry. In this trend, self-driving cars are also one of the fields that many researchers and companies are interested in and develop in both theoretical and experimental fields. Current studies have applied image processing to detect lanes and obstacles, but have not provided a solution when facing problems such as blurred, broken lane lines, tree shadows, and building shadows. They are the main reasons for reducing the accuracy of the algorithm. In this paper, we study, design, and do experiments based on hardware, which is Raspberry Pi, a Pi camera using Opencv and Neural Network to build self-driving cars capable of recognizing lanes and recognizing lanes. notice boards.vi_VN
dc.language.isoenvi_VN
dc.publisherResearch Inventy: International Journal of Engineering And Sciencevi_VN
dc.subjectSelf-driver carvi_VN
dc.subjectimage processingvi_VN
dc.subjectconvolution nerural networkvi_VN
dc.subjectRaspberry Pivi_VN
dc.subjectcamera Pivi_VN
dc.subjectArduino unovi_VN
dc.titleResearch, design, and experiment the autonomous car using AIvi_VN
dc.typeWorking Papervi_VN
Appears in Collections:NĂM 2023

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