Defensive Reflexes of Drones
34th International Conference on Computer Theory and Applications, ICCTA 2024, Alexandria, Mısır, 14 - 16 Aralık 2024, ss.17-21, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/iccta64612.2024.10974903
- Basıldığı Şehir: Alexandria
- Basıldığı Ülke: Mısır
- Sayfa Sayıları: ss.17-21
- Anahtar Kelimeler: drone, drone reflex, image processing, machine learning
- Maltepe Üniversitesi Adresli: Evet
Özet
Object detection is an image processing method that aims to detect the object from the images taken through cameras. In this context, it has become possible for drones to detect an object and predict the object's distinctive features. In this study, object detection and classification methods were employed to enable drones to develop a defense mechanism by making a distinction between threatening and non-Threatening objects approaching them, thereby autonomously protecting themselves, independently of the pilot, against potentially threatening objects.