MR-Based UAV Route Planning for the Coverage Task

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Abstract

In this work, we define a new problem called coverage task, which is to plan a flying route for a UAV to inspect a structure surface of interest with a certain visual quality ensurance. Users can use the designed MR interface for a coverage task via intuitive head gaze and hand gesture instructions. In particular, we present a spray light interface for easily visualizing the inspection area of a flying route. We also conduct a user study evaluation to verify our framework on HoloLens. The study shows that our spray light interface performs consistently well in subjective usability and improves over other approaches in performance. The results validate that the semi-immersive interface provides a viable alternative to conventional interfaces for UAV route planning.

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Wei, J. H., Chen, J. J., & Tseng, Y. C. (2022). MR-Based UAV Route Planning for the Coverage Task. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 442 LNICST, pp. 293–306). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06371-8_19

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