Autonomous Vehicles

A tétel rövid nézete
dc.contributor.advisorKovács, László
dc.contributor.authorAhmad, Haseeb
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2022-04-29T21:06:54Z
dc.date.available2022-04-29T21:06:54Z
dc.date.created2022-04-29
dc.description.abstractModern traffic safety systems, particularly autonomous vehicles, rely heavily on visual data to recognize and categorize surrounding items. Such as people, road signs, street signs and traffic lights, and other autos in order for the vehicle to function properly. However, in adverse weather, the performance of object detection algorithms may be impaired. The primary goal of this thesis is to provide research on the most recent technique for automated recognition of text and symbols on the road surface in the form of painted road markings. Our objective is to investigate and evaluate the performance of object recognition systems that have been trained and tested using visual data gathered in both good and bad weather, and trained object recognition model to test it.hu_HU
dc.description.courseComputer Sciencehu_HU
dc.description.degreeegységes, osztatlanhu_HU
dc.format.extent57hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/331958
dc.language.isoenhu_HU
dc.subjectAutonomous vehiclehu_HU
dc.subjectself driving carhu_HU
dc.subjectroad surface markinghu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleAutonomous Vehicleshu_HU
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