Towards a Weather Analysis Software Framework to Improve UAS Operational Safety

Tobias Lundby; Martin Peter Christiansen; Kjeld Jensen

doi:10.1109/ICUAS.2019.8798271

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 proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of the 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019
Publisher	IEEE
Publication date	14. Jun 2019
Pages	1372-1380
Article number	204
Chapter	FrB2.6
ISBN (Print)	978-1-7281-0334-1
ISBN (Electronic)	978-1-7281-0333-4
DOIs	https://doi.org/10.1109/ICUAS.2019.8798271
Publication status	Published - 14. Jun 2019
Event	2019 International Conference on Unmanned Aircraft Systems - Atlanta Marriott Buckhead Hotel & Conference Center, Atlanta, United States Duration: 11. Jun 2019 → 14. Jun 2019 Conference number: 229 http://www.uasconferences.com/

Conference

Conference	2019 International Conference on Unmanned Aircraft Systems
Number	229
Location	Atlanta Marriott Buckhead Hotel & Conference Center
Country/Territory	United States
City	Atlanta
Period	11/06/2019 → 14/06/2019
Internet address	http://www.uasconferences.com/

Keywords

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

Documents & Links

10.1109/ICUAS.2019.8798271

Cite this

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title = "Towards a Weather Analysis Software Framework to Improve UAS Operational Safety",

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.",

keywords = "Autonomy, Risk Analysis, Technology Challenges, Autonomous operations, UAS safety., Weather analysis, Weather conditions",

author = "Tobias Lundby and Christiansen, {Martin Peter} and Kjeld Jensen",

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booktitle = "Proceedings of the 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019",

publisher = "IEEE",

address = "United States",

note = "2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019 ; Conference date: 11-06-2019 Through 14-06-2019",

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Lundby, T, Christiansen, MP & 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., 204, IEEE, pp. 1372-1380, 2019 International Conference on Unmanned Aircraft Systems, Atlanta, Georgia, United States, 11/06/2019. https://doi.org/10.1109/ICUAS.2019.8798271

Towards a Weather Analysis Software Framework to Improve UAS Operational Safety. / Lundby, Tobias; Christiansen, Martin Peter; Jensen, Kjeld.
Proceedings of the 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019. IEEE, 2019. p. 1372-1380 204.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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N2 - 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.

AB - 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.

KW - Autonomy, Risk Analysis, Technology Challenges

KW - Autonomous operations

KW - UAS safety.

KW - Weather analysis

KW - Weather conditions

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M3 - Article in proceedings

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BT - Proceedings of the 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019

PB - IEEE

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ER -

Towards a Weather Analysis Software Framework to Improve UAS Operational Safety

Abstract

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Keywords

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