Towards a Weather Analysis Software Framework to Improve UAS Operational Safety

Tobias Lundby, Martin Peter Christiansen, Kjeld Jensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Unmanned Aerial Systems (UAS) operations are evolving towards autonomous flight beyond visual line of sight (BVLOS), which requires moving assessments normally conducted by the remote pilot to the autonomous software. An important assessment currently conducted by the remote pilot is whether the current weather conditions pose a safety risk to the flight. This work deals with the development of a software framework for analysing weather data. The developed framework is capable of providing a weather analysis report to a remote supervisor or to an autonomous decision-making software. The software framework has been tested using historical weather data for a full calendar year provided by IBM. The weather data was applied to four different UAS ranging from small UAS to a passenger UAS. The results obtained show that during a full year, flight was possible from 53.9% to 95.8% of the time depending on the UAS. We consider the software framework an important step towards improving the operational safety for autonomous UAS operations under BVLOS conditions.
Original languageEnglish
Title of host publicationProceedings of the 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019
PublisherIEEE
Publication date14. Jun 2019
Pages1372-1380
Article number204
ChapterFrB2.6
ISBN (Print)978-1-7281-0334-1
ISBN (Electronic)978-1-7281-0333-4
DOIs
Publication statusPublished - 14. Jun 2019
Event2019 International Conference on Unmanned Aircraft Systems - Atlanta Marriott Buckhead Hotel & Conference Center, Atlanta, United States
Duration: 11. Jun 201914. Jun 2019
Conference number: 229
http://www.uasconferences.com/

Conference

Conference2019 International Conference on Unmanned Aircraft Systems
Number229
LocationAtlanta Marriott Buckhead Hotel & Conference Center
CountryUnited States
CityAtlanta
Period11/06/201914/06/2019
Internet address

Keywords

  • Autonomy, Risk Analysis, Technology Challenges
  • Autonomous operations
  • UAS safety.
  • Weather analysis
  • Weather conditions

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  • Cite this

    Lundby, T., Christiansen, M. P., & Jensen, K. (2019). Towards a Weather Analysis Software Framework to Improve UAS Operational Safety. In Proceedings of the 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019 (pp. 1372-1380). [204] IEEE. https://doi.org/10.1109/ICUAS.2019.8798271