JunMan Park, KiBeom Kang, JeongWoo Jwa, JoongHie Won
언어
영어(ENG)
URL
https://www.earticle.net/Article/A332197
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원문정보
초록
영어
Drones are controlled by the remote pilot from the ground stations using the radio control or autonomously following the pre-programmed flight plans. In this paper, we develop a method and an optimal path search system for providing 3D augmented reality flight (ARF) images for safe and efficient flight control of drones. The developed system consisted of the drone, the ground station and user terminals, and the optimal path search server. We use the Dijkstra algorithm to find the optimal path considering the drone information, flight information, environmental information, and flight mission. We generate a 3D augmented reality flight (ARF) image overlaid with the path information as well as the drone information and the flight information on the flight image received from the drone. The ARF image for adjusting the drone is generated by overlaying route information, drone information, flight information, and the like on the image captured by the drone.
목차
Abstract 1. Introduction 2. Dimensional Augmented Reality Flight (ARF) for Drones 3. Conclusions and Discussions Acknowledgement References
키워드
Unmanned Aerial Vehicle (UAV)DronenavigationFirst Person View (FPV)3D ARF.
저자
JunMan Park [ Jeju National University, Jeju, Korea ]
KiBeom Kang [ Jeju National University, Jeju, Korea ]
JeongWoo Jwa [ Jeju National University, Jeju, Korea ]
JoongHie Won [ VICS, Seoul, Korea ]
Corresponding author