Object Detection with Deep Learning in Simulation Environments

Year 2023, , 121 - 129, 20.12.2023

Samet Akçay , İclal Çetin Taş

https://doi.org/10.53070/bbd.1313289

Abstract

With the concept of digital twins, the development cost and time are benefited by making simulation environments. Especially considering the high cost and other risks in image processing and unmanned aerial vehicle applications, the use of digital media in research for such applications allows easy testing of new and untested algorithms. A quadrotor unmanned aerial vehicle dynamic model twin was created in Matlab software, and the flight environment for this aircraft was simulated with Unreal game engine software. A camera model was created on the aircraft and images were taken from the digital media over the unmanned aerial vehicle. The images obtained were sent to the previously trained YOLOv4 deep learning network, and soldier figures in the field environment with different fog conditions were tried to be determined. In the tests carried out, it was observed that the number and accuracy of object detection decreased when fog conditions were difficult.

Keywords

Digital twin, Image processing, UAV

Simülasyon Ortamlarda Derin Öğrenme ile Nesne Tespiti

Abstract

Dijital ikiz kavramı ile benzetim ortamlarının yapılması ile geliştirme maliyeti ve zamanından fayda sağlanmaktadır. Özellikle görüntü işleme ve insansız hava aracı uygulamalarındaki yüksek maliyet ve diğer riskler düşünüldüğünde bu tip uygulamalar için dijital ortamların araştırmalarda kullanılması yeni ve test edilmemiş algoritmalarında kolay bir şeklide denenmesine imkân vermektedir. Dört rotorlu bir insansız hava aracı dinamik model ikizi Matlab yazılımında oluşturulmuş ve bu hava aracı için uçuş ortamı Unreal oyun motoru yazılımı ile benzetilmiştir. Hava aracının üzerinde kamera modeli oluşturularak dijital ortamdan insansız hava aracı üzerinden görüntüler alınmıştır. Elde edilen görüntüler daha önce eğitilen YOLOv4 derin öğrenme ağına gönderilerek, faklı sis koşullarını içeren arazi ortamındaki asker figürleri tespit edilmeye çalışılmıştır. Yapılan testlerde sis koşullarının zor olduğu durumlarda nesne tespit sayısının ve doğruluğunun azaldığı gözlemlenmiştir.

Keywords

Dijital ikiz, Görüntü işleme, İHA

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