Vision-Based Autonomous Landing of a Multi-Copter Unmanned Aerial Vehicle using Reinforcement Learning

• Published in: Conference proceedings (International Conference on Unmanned Aircraft Systems. Online) pp. 108 - 114
• Main Authors: Lee, Seongheon, Shim, Taemin, Kim, Sungjoong, Park, Junwoo, Hong, Kyungwoo, Bang, Hyochoong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Aerospace engineering; artificial intelligence (AI); Attitude control; autonomous landing; Cameras; Learning (artificial intelligence); multi-copter; Neural networks; reinforcement learning; Training; unmanned aerial vehicle (UAV); Unmanned aerial vehicles

This paper presents vision-based landing guidance of multi-copter Unmanned Aerial Vehicle (UAV) using reinforcement learning. In this approach, the guidance method is not designed or proposed by a human, but deployed by a neural network trained in simulated environments; which contains a quad-copter...