Object Detection For Quadrotor Using Deep Learning
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Date
2022-07-20
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
university of M'sila
Abstract
In this work, a type of unmanned aerial vehicle (UAV) called quadrotor with an object detection
system is the subject that we will talk about. The main objectives of our work is the detection of
chosen objects from the quadrotor. For that, there are two parts presented, the first one, a detailed
description of the mathematical effects that applied to the structure of our system and how we
implemented our system with showing all the parts, add to this we built it using simulink with the
PID and we showed the results. In the second part, we will talk about artificial intelligence
generally and deep learning specifically and we will show how exactly the detection happen using
the right technics and algorithms with Yolov5 and which version we will use. Finally we will
make a real test with the real time showing our prototype working in the field.
Description
Keywords
UAV, Object Detection, Quadrotor, Deep Learning, YOLO.