ICUAS 2019 Paper Abstract

Close

Paper FrB2.6

Lundby, Tobias (University of Southern Denmark), Christiansen, Martin Peter (University of Southern Denmark), Jensen, Kjeld (University of Southern Denmark)

Towards a Weather Analysis Software Framework to Improve UAS Operational Safety

Scheduled for presentation during the Regular Session "Autonomy II" (FrB2), Friday, June 14, 2019, 13:10−13:30, Heritage A

2020 International Conference on Unmanned Aircraft Systems (ICUAS), June 11-14, 2019, Athens, Greece

This information is tentative and subject to change. Compiled on December 4, 2021

Keywords Autonomy, Risk Analysis, Technology Challenges

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.

 

 

All Content © PaperCept, Inc.

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2021 PaperCept, Inc.
Page generated 2021-12-04  14:01:57 PST  Terms of use