Dronevr: A web virtual reality simulator for drone operator

Vinh T. Nguyen, Kwanghee Jung, Tommy Dang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, Unmanned Aerial Vehicle (UAV) has been used extensively in various applications from entertainment, virtual tourism to construction, mining, agriculture. Navigation, path planning, and image acquisition are the main tasks in administering these aerial devices in accordance with real-Time object tracking for affordable aerial vehicles. Aircraft crash is one of the most critical issues due to the uncontrolled environment and signal loss that cause the aerial vehicle to hit the buildings on its returning mode. Furthermore, real-Time image processing, such as object tracking, has not yet been exploited for a low-cost aerial vehicle. This paper proposes a prototype embedded in a Web-based application called DroneVR to mitigate the aforementioned issues. The virtual reality environment was reconstructed based on the real-world fly data (OpenStreetMap) in which path planning and navigation were carried out. Gaussian Mixture Model was used to extract foreground and detect a moving object, Kalman Filter method was then applied to predict and keep track of object's motion. Perceived ease of use was investigated with a small sample size users to improve the simulator.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-262
Number of pages6
ISBN (Electronic)9781728156040
DOIs
StatePublished - Dec 2019
Event2nd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019 - San Diego, United States
Duration: Dec 9 2019Dec 11 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019

Conference

Conference2nd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019
CountryUnited States
CitySan Diego
Period12/9/1912/11/19

Keywords

  • 3D simulator
  • Drone crash
  • Openstreetmap
  • Path planning
  • UAV
  • Virtual reality

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  • Cite this

    Nguyen, V. T., Jung, K., & Dang, T. (2019). Dronevr: A web virtual reality simulator for drone operator. In Proceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019 (pp. 257-262). [8942250] (Proceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIVR46125.2019.00060