Drone Autonomous Landing on a Moving Maritime Platform Using Machine Learning Classifiers
Quadcopters are four rotor Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV) with agile manoeuvring ability, small form factor and light weight – which makes it possible to carry on small platforms. Quadcopters are also used in marine environment for similar reasons – especially the ability to carry on small boats, instead of using helicopters on larger boats. Pilots of both manned and unmanned aerial vehicles over sea, face the challenge of landing their aircraft on a boat that is continuously rocking in all three axes (pitch, roll, yaw) and with movement of the boat, usually at steady course and speed. In this paper, we present a new approach for autonomous landing a quadcopter on a moving marine platform. Our approach is based on computer-vision algorithms using markers identification as input for the decision by Stochastic Gradient Descent (SGD) classifier with Neural Network decision making module. We use OpenCV with its built-in ArUco module to analyze the camera images and recognize platform/markers, then we use Sci-Kit Learn implementation of SGD classifier to predict landing optimum angle and compare results to manually decide by simple calculations. Our research includes real-time experiments using Parrot Bebop2 quadcopter and the Parrot Sphinx Simulator.
Copyright (c) 2020 Udi Shriki, Oren Gal, Yerach Doytsher (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
International Journal of Data Science and Advanced Analytics (IJDSAA) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This license allows users to copy, distribute and transmit an article, adapt the article as long as the author is attributed and the article is not used for commercial purposes.
The author(s) confirms
- The manuscript submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
- The published materials used in the manuscript were obtained permission for reproduction. (if any)