Designing a sensor fusion system for obstacle recognition in drones

Abstract

The primary goal of this thesis to enhance the object detection and recognition in drones using the fusion of Ultrasonic sensor and popular object detection algorithm called YOLO. The combination of both sensor and deep learning method gives a powerful and effective approach for object detection tasks in a wide range of applications, including autonomous vehicles, surveillance systems, robotics, and medical imaging.