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http://dx.doi.org/10.22156/CS4SMB.2017.7.3.027

A Study on Automatic Precision Landing for Small UAV's Industrial Application  

Kim, Jong-Woo (Pixoneer)
Ha, Seok-Wun (ERI, Dept. of Aerospace & Software Eng., Gyeongsang National University)
Moon, Yong-Ho (ERI, Dept. of Aerospace & Software Eng., Gyeongsang National University)
Publication Information
Journal of Convergence for Information Technology / v.7, no.3, 2017 , pp. 27-36 More about this Journal
Abstract
In almost industries, such as the logistics industry, marine fisheries, agriculture, industry, and services, small unmanned aerial vehicles are used for aerial photographing or closing flight in areas where human access is difficult or CCTV is not installed. Also, based on the information of small unmanned aerial photographing, application research is actively carried out to efficiently perform surveillance, control, or management. In order to carry out tasks in a mission-based manner in which the set tasks are assigned and the tasks are automatically performed, the small unmanned aerial vehicles must not only fly steadily but also be able to charge the energy periodically, In addition, the unmanned aircraft need to land automatically and precisely at certain points after the end of the mission. In order to accomplish this, an automatic precision landing method that leads landing by continuously detecting and recognizing a marker located at a landing point from a video shot of a small UAV is required. In this paper, it is shown that accurate and stable automatic landing is possible even if simple template matching technique is applied without using various recognition methods that require high specification in using low cost general purpose small unmanned aerial vehicle. Through simulation and actual experiments, the results show that the proposed method will be made good use of industrial fields.
Keywords
Small UAV; Industrial Application; Template; Image Matching; Automatic Precision Landing;
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Times Cited By KSCI : 1  (Citation Analysis)
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