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Traffic Signs Recognition

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dc.contributor.author 03-134171-005, Aqsa Gulzar
dc.contributor.author 03-134171-043, Syed Ghazi Hussain Zaidi
dc.date.accessioned 2024-10-28T07:34:32Z
dc.date.available 2024-10-28T07:34:32Z
dc.date.issued 2021-01-18
dc.identifier.other BULC701
dc.identifier.uri http://hdl.handle.net/123456789/18279
dc.description.abstract There are many factors that are very essential to make a vehicle self-driving and also for driver's assistance. One of them is to recognize and identify the traffic signs present on the road to make the driving more efficient and safer. Traffic sign recognition system has a prominent and essential role in our modern real-world application such as autonomous driving, traffic surveillance, driver safety and assistance, road network maintenance, and analysis of traffic scenes [1]. To recognize those traffic signs, it is necessary to make the machine to learn about those traffic signs. An "automatic traffic sign recognition system" is very essential and helpful for autonomous vehicles. To achieve this goal, we will use machine learning algorithms and techniques en_US
dc.description.sponsorship Supervisor: Asad Kamal en_US
dc.language.iso en en_US
dc.relation.ispartofseries ;BULC701
dc.title Traffic Signs Recognition en_US
dc.type Project Reports en_US


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