Traffic Sign Recognition For Autonomous Driving

dc.contributor.authorMattar, Mahmoud Mohamed
dc.date.accessioned2022-09-07T11:12:23Z
dc.date.available2022-09-07T11:12:23Z
dc.date.issued2022
dc.description.abstractAccording to world health organization statistics done in 2021, 1.3 million people die yearly as a result of road traffic crashes. Undoubtedly, the fetal injuries are affecting people with age range 5 to 29 which shortly leads to death. recently technology had contributed to reduce the number of crashes by using different applications of computer vision. one of computer vision applications is Traffic sign recognition system (TSRS). clearly, TSRS is a significant partition of intelligent transportation system (ITS). in addition to its ability to identify traffic signs accurately, which effectively can improve the driving safety. This project focuses on traffic sign recognition technique using deep learning, which mainly aims to detect and classify all traffic signs using convolutional neural network (CNN).en_US
dc.description.sponsorshipDr. Ahmed Farouken_US
dc.identifier.citationFaculty Of Computer Science Graduation Project 2020 - 2022en_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/5176
dc.language.isoenen_US
dc.publisherOctober University For Modern Sciences and Artsen_US
dc.relation.ispartofseriesFaculty Of Computer Science Graduation Project 2020 - 2022;
dc.subjectuniversity of modern sciences and artsen_US
dc.subjectMSA universityen_US
dc.subjectOctober university for modern sciences and artsen_US
dc.subjectجامعة أكتوبر للعلوم الحديثة و الأدابen_US
dc.subjectTraffic Signen_US
dc.subjectAutonomous Drivingen_US
dc.titleTraffic Sign Recognition For Autonomous Drivingen_US
dc.typeOtheren_US

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