Flight patterns for clouds exploration with a fleet of UAVs

Titouan Verdu 1, 2 Gautier Hattenberger 1 Simon Lacroix 2
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.
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Conference papers
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Contributor : Laurence Porte <>
Submitted on : Thursday, May 23, 2019 - 12:17:47 PM
Last modification on : Friday, June 14, 2019 - 6:31:29 PM


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  • HAL Id : hal-02137839, version 1


Titouan Verdu, Gautier Hattenberger, Simon Lacroix. Flight patterns for clouds exploration with a fleet of UAVs. 2019 International Conference on Unmanned Aircraft Systems (ICUAS 2019), Jul 2019, Atlanta, United States. ⟨hal-02137839⟩



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