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Document type:
Konferenzbeitrag / Conference Paper
Title:
Cloud Detection System for UAV Sense and Avoid: First Results of Cloud Segmentation in a Simulation Environment
Title of conference publication:
2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
Conference title:
IEEE International Workshop on Metrology for AeroSpace (5., 2019, Turin)
Conference title:
MetroAeroSpace
Venue:
Turin
Year of conference:
2019
Date of conference beginning:
19.06.2019
Date of conference ending:
21.06.2019
Year:
2019
Pages from - to:
533-538
Language:
Englisch
Keywords:
Air traffic control ; Aircraft ; Autonomous aerial vehicles ; Avoid ; Cameras ; Cloud computing ; Cloud detection system ; Cloud distance estimation ; Cloud segmentation ; cCoud segmentation techniques ; Clouds ; Control engineering computing ; Electro-optical sensors ; Functional component ; Image edge detection ; Image segmentation ; Sense ; Simulation environment ; Synthetic images ; UAV ; UAV sense ; Unmanned aerial vehicles ; VFR ; Visual flight rules
Abstract:
The following paper provides cloud segmentation techniques as a functional component to enable unmanned aerial vehicles (UAV) to automatically detect and avoid clouds using electro-optical sensors. The motivation here is that UAVs not operating under air traffic control have to comply with visual flight rules (VFR). Therefore, minimum distances to clouds must be respected. This paper presents an approach to cloud segmentation in order to facilitate future investigations of cloud distance estimat... »
Department:
Fakultät für Luft- und Raumfahrttechnik
Institute:
LRT 13 - Institut für Flugsysteme
Chair:
Stütz, Peter
Open Access yes or no?:
Nein / No
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