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http://dx.doi.org/10.9717/kmms.2021.24.10.1346

Design and Implementation of an Optimal 3D Flight Path Recommendation System for Unmanned Aerial Vehicles  

Kim, Hee Ju (Department of Computer Engineering, Dankook University)
Lee, Won Jin (Research Institute of Information and Culture Technology, Dankook University)
Lee, Jae Dong (Department of Software Engineering, Dankook University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.10, 2021 , pp. 1346-1357 More about this Journal
Abstract
The drone technology, which is receiving a lot of attention due to the 4th industrial revolution, requires an Unmanned Aerial Vehicles'(UAVs) flight path search algorithm for automatic operation and driver assistance. Various studies related to flight path prediction and recommendation algorithms are being actively conducted, and many studies using the A-Star algorithm are typically performed. In this paper, we propose an Optimal 3D Flight Path Recommendation System for unmanned aerial vehicles. The proposed system was implemented and simulated in Unity 3D, and by indicating the meaning of the route using three different colors, such as planned route, the recommended route, and the current route were compared each other. And obstacle response experiments were conducted to cope with bad weather. It is expected that the proposed system will provide an improved user experience compared to the existing system through accurate and real-time adaptive path prediction in a 3D mixed reality environment.
Keywords
3D Flight Path; Unmanned Aerial Vehicle; A-Star Algorithm; Recommendation System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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