Autonomous (model sized) vehicles development with deep learning solutions

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dc.contributor.advisorKovács, László
dc.contributor.authorElrefaei, Waleed Hamdan Abdelghany Abdelfattah
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2023-03-29T11:38:01Z
dc.date.available2023-03-29T11:38:01Z
dc.date.created2022-12-15
dc.description.abstractAn autonomous automobile is a vehicle with vehicular automation, meaning it can sense its surroundings and move safely with a diminutive to no human intervention. The natural environment of the cars is to be run on asphalt roads which are built suitably to accommodate the smooth movement of the cars. Intelligent cars are equipped with a variety of detectors to comprehend their environment and surroundings, including radar, LIDAR, cameras, GPS, and other processing and measurement units. These units would make it easier for the vehicle to be automated with lower chance of collision and higher accuracy after practice/training. The training and practice happen through neural network where it passes through an algorithm.
dc.description.correctorN.I.
dc.description.courseComputer Science Engineering
dc.description.degreeBSc/BA
dc.format.extent75
dc.identifier.urihttps://hdl.handle.net/2437/348570
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectautonomous vehicles
dc.subjectvehicles development
dc.subjectdeep learning
dc.subject.dspaceDEENK Témalista::Informatika::Információtechnológia
dc.titleAutonomous (model sized) vehicles development with deep learning solutions
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