Research Article
MR-Based UAV Route Planning for the Coverage Task
@INPROCEEDINGS{10.1007/978-3-031-06371-8_19, author={Jia-Hao Wei and Jen-Jee Chen and Yu-Chee Tseng}, title={MR-Based UAV Route Planning for the Coverage Task}, proceedings={Science and Technologies for Smart Cities. 7th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2021, Proceedings}, proceedings_a={SMARTCITY}, year={2022}, month={6}, keywords={Mixed reality HoloLens Unmanned aerial vehicle Route planning}, doi={10.1007/978-3-031-06371-8_19} }- Jia-Hao Wei
Jen-Jee Chen
Yu-Chee Tseng
Year: 2022
MR-Based UAV Route Planning for the Coverage Task
SMARTCITY
Springer
DOI: 10.1007/978-3-031-06371-8_19
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.
