Parking space occupancy detection using deep learning methods;

dc.contributor.author Akinci,F.C.
dc.contributor.author Karakaya,M.
dc.date.accessioned 2024-07-05T15:45:11Z
dc.date.available 2024-07-05T15:45:11Z
dc.date.issued 2018
dc.description Aselsan; et al.; Huawei; IEEE Signal Processing Society; IEEE Turkey Section; Netas en_US
dc.description.abstract This paper presents an approach for gathering information about the availabilty of the parking lots using Convoltional Neural Network (CNN) for image processing running on an embedded system. By using an eflicent neural network model, we made it possible to use a very low cost embedded system compared to the ones used in previous works on this topic. This efficient model's performance is compared to one of the models that proved its accuracy in image classification competitions. In these tests, we used datasets that has thousands of different images taken from parking lots in different light and weather conditions. © 2018 IEEE. en_US
dc.identifier.doi 10.1109/SIU.2018.8404749
dc.identifier.isbn 978-153861501-0
dc.identifier.scopus 2-s2.0-85050821244
dc.identifier.uri https://doi.org/10.1109/SIU.2018.8404749
dc.identifier.uri https://hdl.handle.net/20.500.14411/3866
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- Izmir -- 137780 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Computer Vision en_US
dc.subject Convolutional Neural Networks en_US
dc.subject Deep Learning en_US
dc.subject Smart Cities en_US
dc.title Parking space occupancy detection using deep learning methods; en_US
dc.title.alternative Araç Park Yerlerinin Doluluk Durumlarinin Derin Öǧrenme Yöntemi ile Tespit Edilmesi en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.description.department Atılım University en_US
gdc.description.departmenttemp Akinci F.C., Bilgisayar Mühendisliǧi, Atilim Üniversitesi, Ankara, 06836, Turkey; Karakaya M., Bilgisayar Mühendisliǧi, Atilim Üniversitesi, Ankara, 06836, Turkey en_US
gdc.description.endpage 4 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 1 en_US
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 6
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gdc.plumx.mendeley 9
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gdc.scopus.citedcount 8
gdc.virtual.author Karakaya, Kasım Murat
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