Year: 2018
Type: dissertation
Abstract: This project is oriented to put into practice some of the last deep learning techniques in computer vision. In the project it has been developed an autonomous control system for a UAV based on object tracking. Along the development of the project the state of art of visual object trackers will be analyzed and tested in order to finally build a mobile application with a simple user interface capable of communicating with the UAV for sending it movement commands so that making it to follow a selected target autonomously. The final purpose of this project is to be tested on a real UAV to show how it works. It is currently being tested.
Author: Enrique Mas Candela
Language: Spanish
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2886207981