Open source computer-vision based guidance system for UAVs on-board decision making

• Published in: 2016 IEEE Aerospace Conference pp. 1 - 5
• Main Authors: Hyunwoong Choi, Geeves, Mitchell, Alsalam, Bilal, Gonzalez, Felipe
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2016
• Subjects: Aerospace electronics; Airborne Vision System; Australia; Cameras; Decision making; Image processing; Remote Piloted Aircraft Systems; Software algorithms; Unmanned aerial vehicles
• DOI: 10.1109/AERO.2016.7500600

The use of UAVs for remote sensing tasks; e.g. agriculture, search and rescue is increasing. The ability for UAVs to autonomously find a target and perform on-board decision making, such as descending to a new altitude or landing next to a target is a desired capability. Computer-vision functionality allows the Unmanned Aerial Vehicle (UAV) to follow a designated flight plan, detect an object of interest, and change its planned path. In this paper we describe a low cost and an open source system where all image processing is achieved on-board the UAV using a Raspberry Pi 2 microprocessor interfaced with a camera. The Raspberry Pi and the autopilot are physically connected through serial and communicate via MAVProxy. The Raspberry Pi continuously monitors the flight path in real time through USB camera module. The algorithm checks whether the target is captured or not. If the target is detected, the position of the object in frame is represented in Cartesian coordinates and converted into estimate GPS coordinates. In parallel, the autopilot receives the target location approximate GPS and makes a decision to guide the UAV to a new location. This system also has potential uses in the field of Precision Agriculture, plant pest detection and disease outbreaks which cause detrimental financial damage to crop yields if not detected early on. Results show the algorithm is accurate to detect 99% of object of interest and the UAV is capable of navigation and doing on-board decision making.