The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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Local and Global Navigation Maps for Safe UAV Flight

드론의 안전비행을 위한 국부 및 전역지도 인터페이스

  • Yu, Sanghyeong (Cognitive Engineering Lab, Graduate Program in Cognitive Science, Yonsei University) ;
  • Jeon, Jongwoo (Cognitive Engineering Square of UX Lab, Graduate Program in Cognitive Science, Yonsei University) ;
  • Cho, Kwangsu (Cognitive Engineering Square of UX Lab at the Graduate School of Information and Graduate Program of Cognitive Science, Yonsei University)
  • Received : 2016.09.05
  • Accepted : 2018.03.07
  • Published : 2018.05.31
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Abstract

To fly a drone or unmanned aerial vechicle(UAV) safely, its pilot needs to maintain high situation awareness of its flight space. One of the important ways to improve the flight space awareness is to integrate both the global and the local navigation map a drone provides. However, the drone pilot often has to use the inconsistent reference frames or perspectives between the two maps. In specific, the global navigation map tends to display space information in the third-person perspective, whereas the local map tends to use the first-person perspective through the drone camera. This inconsistent perspective problem makes the pilot use mental rotation to align the different perspectives. In addition, integrating different dimensionalities (2D vs. 3D) of the two maps may aggravate the pilot's cognitive load of mental rotation. Therefore, this study aims to investigate the relation between perspective difference ($0^{\circ}$, $90^{\circ}$, $180^{\circ}$, $270^{\circ}$) and the map dimensionality matches (3D-3D vs. 3D-2D) to improve the way of integrating the two maps. The results show that the pilot's flight space awareness improves when the perspective differences are smaller and also when the dimensionalities between the two maps are matched.

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