Optimal Trajectories of a UAV Base Station Using Lagrangian Mechanics

Autor: Jean-Marc Kelif, Marceau Coupechoux, Jérôme Darbon, Marc Sigelle

Publikováno v: IEEE International Conference on Computer Communications (INFOCOM), Workshop on Mission-Oriented Wireless Sensor, UAV and Robot Networking (MISARN)
IEEE International Conference on Computer Communications (INFOCOM), Workshop on Mission-Oriented Wireless Sensor, UAV and Robot Networking (MISARN), Apr 2019, Paris, France. pp.1-6
INFOCOM Workshops

International audience; This paper considers the problem of optimizing the trajectory of an Unmanned Aerial Vehicle (UAV) Base Station (BS). A map is considered, characterized by a traffic intensity of users to be served. The UAV BS must travel from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b20c5be4231d93a69ddc22f98b82bdcd
http://arxiv.org/abs/1812.08759

Uplink Energy-Delay Trade-off under Optimized Relay Placement in Cellular Networks

Autor: Maode Ma, Philippe Godlewski, Marc Sigelle, Jean-Marc Kelif, Marceau Coupechoux, Mattia Minelli

Publikováno v: IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing, Institute of Electrical and Electronics Engineers, 2016, 15 (9), pp.2376-2387

International audience; Relay nodes-enhanced architectures are deemed a viable solution to enhance coverage and capacity of nowadays cellular networks. Besides a number of desirable features, these architectures reduce the average distance between us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b93d4e3cd8460317239d03d2b8dc45d1

Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization

Autor: Marc Sigelle, Jérôme Darbon

Publikováno v: Journal of Mathematical Imaging and Vision. 26:261-276

This paper deals with the total variation minimization problem in image restoration for convex data fidelity functionals. We propose a new and fast algorithm which computes an exact solution in the discrete framework. Our method relies on the decompo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b98c09b30e84818a5abfaa9bb6a0cabd
https://doi.org/10.1007/s10851-006-8803-0

A spatial regularization method preserving local photometry for Richardson-Lucy restoration

Autor: Marc Sigelle, Emmanuel Bratsolis

Publikováno v: Astronomy and Astrophysics. 375:1120-1128

In this article we give a simple method of spatial regularization deriving from the Richardson-Lucy (RL) algorithm in order to overcome the problem of noise amplification during the image reconstruction process. It is very important in astronomy to r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e22edbbf3c91d242126d4022cc9da350
https://doi.org/10.1051/0004-6361:20010709

Estimating Gaussian Markov random field parameters in a nonstationary framework: application to remote sensing imaging

Autor: Marc Sigelle, F. Preteux, Xavier Descombes

Publikováno v: IEEE Transactions on Image Processing. 8:490-503

In this paper, we tackle the problem of estimating textural parameters. We do not consider the problem of texture synthesis, but the problem of extracting textural features for tasks such as image segmentation. We take into account nonstationarities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3e71afd8e5a9c27bdeebf9cf5ae9833
https://doi.org/10.1109/83.753737