Designing a sensor fusion system for obstacle recognition in drones
Dátum
Szerzők
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Absztrakt
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.
Leírás
Kulcsszavak
Mechatronical Engineering, Obstacle recognition, Sensor fusion