Algorithm Development for Autonomous Driving

A tétel rövid nézete
dc.contributor.advisorHarangi, Balázs
dc.contributor.authorQasim, Muhammad
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-11-18T11:15:38Z
dc.date.available2021-11-18T11:15:38Z
dc.date.created2021-11-17
dc.description.abstractModern road safety systems, in general, and autonomous vehicles in particular, rely heavily on visual data to detect and classify objects such as pedestrians, traffic signs and lights, and other cars nearby to aid in good vehicle operation safely in their surroundings. However, the performance of object detection algorithms may degraded in difficult weather conditions. Despite tremendous advances in the development of drainage systems, the impact of rain on object perception has received little attention, particularly in the context of autonomous computing. The thesis' primary goal is to present a study on the most recent and novel ways for reducing the impact of wet weather on an autonomous vehicle's ability to detect objectshu_HU
dc.description.courseComputer Sciencehu_HU
dc.description.degreeMSc/MAhu_HU
dc.format.extent65hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/324955
dc.language.isoenhu_HU
dc.subjectObject Detectionhu_HU
dc.subjectYOLOv5hu_HU
dc.subjectUnder Rainy Conditionhu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleAlgorithm Development for Autonomous Drivinghu_HU
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