Abstract
The development of services and applications involving drones is promoting the growth of the unmanned-aerial-vehicle industry. Moreover, the supply of low-cost compact drones has greatly contributed to the popularization of drone flying. However, flying first-person-view (FPV) drones requires considerable experience because the remote pilot views a video transmitted from a camera mounted on the drone. In this paper, we propose a remote training system for FPV drone flying in mixed reality. Thereby, beginners who are inexperienced in FPV drone flight control can practice under the guidance of remote experts.
Highlights
With the growth of the unmanned-aerial-vehicle industry, the development of services and applications involving drones has been greatly promoted
We proposed a remote training system for flying FPV drones in mixed reality (MR) and described the process of designing and implementing this system in terms of the user interface, user interactions, and remote communication
The remote expert, and projector users can carry out the tasks assigned to their roles in the shared virtual flight space using the proposed system
Summary
With the growth of the unmanned-aerial-vehicle industry, the development of services and applications involving drones has been greatly promoted. By using mixed reality (MR) technology, a drone flight environment can be created in a real space that includes various virtual objects. In such an environment, even beginners can safely practice FPV flying. This paper proposes a remote training system for FPV drone flying in an MR environment. The drone player, remote expert, and projector user are the components of the system We define their roles and describe their configuration. We present a user interaction and remote communication method that is suitable for remote training for flying FPV drones. We present a configuration method for a virtual flight environment using an ultrawideband (UWB) wireless communication sensor. A two-way configuration, instead of a one-way configuration by the remote expert, is possible
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