Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/986
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dc.contributor.authorKanchana, B.-
dc.contributor.authorPeiris, R.-
dc.contributor.authorPerera, D.-
dc.contributor.authorJayasinghe, D.-
dc.contributor.authorKasthurirathna, D.-
dc.date.accessioned2022-02-07T08:32:05Z-
dc.date.available2022-02-07T08:32:05Z-
dc.date.issued2021-12-09-
dc.identifier.issn10.1109/ICAC54203.2021.9671099-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/986-
dc.description.abstractComputer vision in self-driving vehicles can lead to research and development of futuristic vehicles that can mitigate the road accidents and assist in a safer driving environment. By using the self-driving technology, the riders can be roamed to their destinations without using human interaction. But in recent times self-driving vehicle technology is still at the early stage. Mostly in the rushed areas like cities it becomes challenging to deploy such autonomous systems because even a small amount of data can cause a critical accident situation. In Order to increase the autonomous driving conditions computer vision and deep learning-based approaches are tended to be used. Finding the obstacles on the road and analyzing the current traffic flow are mainly focused areas using computer vision-based approaches. As well as many researchers using deep learning-based approaches like convolutional neural networks to enhance the autonomous driving conditions. This research paper focused on the evaluation of computer vision used in self-driving vehicles.en_US
dc.description.sponsorshipCo-Sponsor:Institute of Electrical and Electronic Engineers (IEEE) Academic sponsor:SLIIT UNI Gold Sponsor :London Stock Exchange Group (LSEG)en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectAutonomous Drivingen_US
dc.subjectDeep Learningen_US
dc.subjectCNNen_US
dc.subjectComputer visionen_US
dc.titleComputer Vision for Autonomous Drivingen_US
dc.typeArticleen_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer Science and Software Engineering-Scopes
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - School of Natural Sciences

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