Flight patterns for clouds exploration with a fleet of UAVs

Titouan Verdu; Gautier Hattenberger; Simon Lacroix

Flight patterns for clouds exploration with a fleet of UAVs

Titouan Verdu ^{1, 2} Gautier Hattenberger ¹ Simon Lacroix ²

1 ENAC - Ecole Nationale de l'Aviation Civile

2 LAAS-RIS - Équipe Robotique et InteractionS

LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]

Abstract : Modeling the cloud microphysics processes is essential to improve our understanding in climate changes and reduce the uncertainties in weather predictions. Aircrafts, remote sensing and ground-based infrastructures provide either sparse or coarse spatial measurements that are not sufficient to develop fine cloud models. UAVs have shown their ability to collect relevant cloud in-situ measures, and can be even more efficient when deployed in fleets. However, collecting relevant cloud data call for specific trajectories: this paper introduces a series of flight patterns dedicated to cloud exploration by a fleet of UAVs. The patterns definition comprise both a priori geometric information and real-time reactions to collected data. Results in simulated clouds assess their relevance for cloud in situ data collection.

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Automatic

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https://hal-enac.archives-ouvertes.fr/hal-02137839
Contributor : Laurence Porte <>
Submitted on : Thursday, May 23, 2019 - 12:17:47 PM
Last modification on : Monday, August 19, 2019 - 3:30:19 PM

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