Abstract
The evolution of cumulus clouds is still no fully understood by atmospheric scientists [1].
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
This paper is a more complete and updated version of a former paper published in the IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas (USA), 2020.
- 2.
Shown as a purple box in Fig. 5: such models implements the clouds microphysics MesoNH model, and require tens of hours of computation of dedicated clusters to be produced.
References
de Rooy, W.C., Bechtold, P., Fröhlich, K., Hohenegger, C., Jonker, H., Mironov, D., Pier Siebesma, A., Teixeira, J., Yano, J.-I.: Entrainment and detrainment in cumulus convection: an overview. Q. J. Roy. Meteorol. Soc. 139(670), 1–19 (2013). https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.1959
Reineman, B.D., Lenain, L., Melville, W.K.: The use of ship-launched fixed-wing UAVs for measuring the marine atmospheric boundary layer and ocean surface processes. J. Atmos. Oceanic Technol 33(9), 2029–2052 (2016). http://journals.ametsoc.org/doi/10.1175/JTECH-D-15-0019.1
Egorova, T., Gatsonis, N.A., Demetriou, M.A.: Estimation of gaseous plume concentration with an unmanned aerial vehicle. J. Guidance Control Dyn. 39(6), 1314–1324 (2016). http://arc.aiaa.org/doi/10.2514/1.G001453
Hattenberger, G., Bronz, M., Gorraz, M.: Using the paparazzi UAV system for scientific research. In: IMAV 2014, International Micro Air Vehicle Conference and Competition 2014, Delft, Netherlands, pp. 247–252 (2014). https://hal-enac.archives-ouvertes.fr/hal-01059642
Reymann, C., Renzaglia, A., Lamraoui, F., Bronz, M., Lacroix, S.: Adaptive sampling of cumulus clouds with UAVs. Auton. Rob. 42(2), 491–512 (2018). http://link.springer.com/10.1007/s10514-017-9625-1
Verdu, T., Hattenberger, G., Lacroix, S.: Flight patterns for clouds exploration with a fleet of uavs. In: 2019 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 231–237 (2019)
Harrison, R.G., Nicoll, K.A.: Note: active optical detection of cloud from a balloon platform. Rev. Sci. Instrum. 85(6), 066104 (2014). https://doi.org/10.1063/1.4882318
Mayer, S., Hattenberger, G., Brisset, P., Jonassen, M.O., Reuder, J.: A “no-flow-sensor" wind estimation algorithm for unmanned aerial systems. Int. J. Micro Air Veh. 4(1), 15–30 (2012). https://hal-enac.archives-ouvertes.fr/hal-00934666
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Verdu, T. et al. (2021). Experimental Flights of Adaptive Patterns for Clouds Exploration with UAVs. In: Siciliano, B., Laschi, C., Khatib, O. (eds) Experimental Robotics. ISER 2020. Springer Proceedings in Advanced Robotics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-71151-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-71151-1_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-71150-4
Online ISBN: 978-3-030-71151-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)