Design and simulation of a dynamic smart parking system with image segmentation and deep learning
Yükleniyor...
Dosyalar
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Modern electronic technologies, such as videoconferences, radio, the internet, and satellite
communications, have accelerated and energized people's lives across a range of economic
sectors. However, in order to keep up with this ever-increasing speed of life, visits to work,
college, the bank, and the gym must begin hours in advance. Finding parking places is becoming
an increasingly common challenge in addition to traffic congestion and traffic jams. The main
goal of this project is to demonstrate a PIC-based automated parking system. When approaching
the above-mentioned parking lot, the user may utilize this project to determine where to leave
their vehicle ahead of time. The parking-lot program shows the number of occupied and
unoccupied spots.
Açıklama
Anahtar Kelimeler
Deep Learning (DL), Machine Learning (ML), Convolutional Neural Network (CNN), Support Vector Machine(SVM), Smart Parking
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Taha, Mohammed Fouad Taha. (2022). Design and simulation of dynamic smart parking system with image segmentation and deep learning. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
