Deep Learning Based Vehicle Detection with Images Taken from Unmanned Air Vehicle Insansiz Hava Aracindan Alinan Görüntüler ile Derin Öǧrenme Tabanli Araç Tespiti

BÖYÜK M., DUVAR R., URHAN O.

2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020, İstanbul, Türkiye, 15 - 17 Ekim 2020 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/asyu50717.2020.9259868
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Kocaeli Üniversitesi Adresli: Evet

Özet

© 2020 IEEE.Especially in recent years, unmanned aerial vehicles (UAV) have been used in many platforms for military, commercial and entertainment purposes. Thanks to high computational graphics cards, many computer vision applications based on deep learning can work in real time on unmanned aerial vehicles. In this study, fast and high-performance object detection algorithms Faster R-CNN, YOLOv3-Tiny and SSD algorithms are used to detect vehicles in image taken from UAVs. Thus, the positions of vehicles driving in traffic are found automatically.