MR-Based UAV Route Planning for the Coverage Task

Jia Hao Wei*, Jen Jee Chen, Yu Chee Tseng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationScience and Technologies for Smart Cities - 7th EAI International Conference, SmartCity360°, 2021, Proceedings
EditorsSara Paiva, Xuejun Li, Sérgio Ivan Lopes, Nishu Gupta, Danda B. Rawat, Asma Patel, Hamid Reza Karimi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9783031063701
StatePublished - 2022
Event7th EAI International Conference on Science and Technologies for Smart Cities, SmartCity360° 2021 - Virtual, Online
Duration: 2 Dec 20214 Dec 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume442 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


Conference7th EAI International Conference on Science and Technologies for Smart Cities, SmartCity360° 2021
CityVirtual, Online


  • HoloLens
  • Mixed reality
  • Route planning
  • Unmanned aerial vehicle


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