Precision landing for indoor unmanned aerial vehicles

• Main Author: Phua, Jun Wei
• Other Authors: Wang Dan Wei
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/74554
• Institution: Nanyang Technological University

Unmanned Aerial Vehicle (UAV) commonly known as a drone, is an aircraft without a human pilot on board. [1] It can be manually controlled using a ground-based radio frequency controller or operate autonomously through a ground control software by setting waypoints and endpoint. This paper summarizes the current work on using an object recognition algorithm to initiate precision landing for indoor drones. The work reported in this paper focuses on using on using a vision based deep learning algorithm for machines’ object recognition which in this project is to use the drone’s onboard camera to recognize the landing platform, to alert user of obstruction if any to abort landing and to perform a landing with better accuracy. This article focuses on image recognition landing for an unmanned aerial vehicle.