Autonomous precision landing for commercial UAV: A review

• 发表在: Frontiers in Artificial Intelligence and Applications
• 主要作者: Noor M.B.M.; Ismail M.A.; Khyasudeen M.F.; Shariffuddin A.; Kamel N.I.; Azzuhri S.R.
• 格式: Conference paper
• 语言: English
• 出版: IOS Press BV 2017
• 在线阅读: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034267395&doi=10.3233%2f978-1-61499-828-0-459&partnerID=40&md5=3b130b37e91e18c9f03ed3f8cdf36de4

This paper reviews a various methods exploring the topic of unmanned aerial vehicles (UAV) autonomous precision landing, covering two types of commercial UAVs, multi-rotor and fixed-wing UAVs. Four general methods gain the most eminence for the autonomous precision landing, which generally known as visual processing landing, satellite navigations landing, ground station navigation landing, and arrestor recovery landing. The assessment of the landing accuracies of each method are assessed and compared, if the results are being made available in the reviewed research articles. We also discussed the recent breakthroughs in sensors, processor, and flight technologies that can further improve the accuracy of UAV autonomous precision landing. © 2017 The authors and IOS Press. All rights reserved.