Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Barbaresco, P"'
Autor:
Barbaresco, Frédéric, Rioux, Laurent, Labreuche, Christophe, Nowak, Michel, Olivier, Noé, Nicolazic, Damien, Hess, Olivier, Guilmin, Anne-Lise, Wang, Robert, Sassolas, Tanguy, Louise, Stéphane, Snizhko, Kyrylo, Misguich, Grégoire, Auffèves, Alexia, Whitney, Robert, Vergnaud, Emmanuelle, Schopfer, Félicien
With the support of the national program on measurements, standards, and evaluation of quantum technologies MetriQs-France, a part of the French national quantum strategy, the BACQ project is dedicated to application-oriented benchmarks for quantum c
Externí odkaz:
http://arxiv.org/abs/2403.12205
Publikováno v:
Geometric Science of Information 2017, 2017, Paris, France
This paper is concerned with the computation of an optimal matching between two manifold-valued curves. Curves are seen as elements of an infinite-dimensional manifold and compared using a Riemannian metric that is invariant under the action of the r
Externí odkaz:
http://arxiv.org/abs/2401.04743
Coordination of radars can be performed in various ways. To be more resilient radar networks can be coordinated in a decentralized way. In this paper, we introduce a highly resilient algorithm for radar coordination based on decentralized and collabo
Externí odkaz:
http://arxiv.org/abs/2307.16477
In the pursuit of further advancement in the field of target tracking, this paper explores the efficacy of a feedforward neural network in predicting drones tracks, aiming to eventually, compare the tracks created by the well-known Kalman filter and
Externí odkaz:
http://arxiv.org/abs/2306.06434
Publikováno v:
SONDRA 2022, Jun 2022, Avignon, France
In this paper, we present an algorithm which lies in the domain of task allocation for a set of static autonomous radars with rotating antennas. It allows a set of radars to allocate in a fully decentralized way a set of active tracking tasks accordi
Externí odkaz:
http://arxiv.org/abs/2205.05334
Autor:
Piatkowski, Nico, Gerlach, Thore, Hugues, Romain, Sifa, Rafet, Bauckhage, Christian, Barbaresco, Frederic
Given is a set of images, where all images show views of the same area at different points in time and from different viewpoints. The task is the alignment of all images such that relevant information, e.g., poses, changes, and terrain, can be extrac
Externí odkaz:
http://arxiv.org/abs/2204.11133
Smart Grids of collaborative netted radars accelerate kill chains through more efficient cross-cueing over centralized command and control. In this paper, we propose two novel reward-based learning approaches to decentralized netted radar coordinatio
Externí odkaz:
http://arxiv.org/abs/2010.11733
Autor:
Barbaresco, Frédéric, Cabanes, Yann
The aim is to describe new geometric approaches to define the statistics of spatio-temporal and polarimetric measurements of the states of an electromagnetic wave, using the works of Maurice Fr{\'e}chet, Jean-Louis Koszul and Jean-Marie Souriau, with
Externí odkaz:
http://arxiv.org/abs/2007.00428
Autor:
Klein, Mathieu, Carpentier, Thomas, Jeanclaude, Eric, Kassab, Rami, Varelas, Konstantinos, de Bruijn, Nico, Barbaresco, Frédéric, Briheche, Yann, Semet, Yann, Aligne, Florence
Publikováno v:
Radar2020, Sep 2020, Florence, Italy
Thales new generation digital multi-missions radars, fully-digital and software-defined, like the Sea Fire and Ground Fire radars, benefit from a considerable increase of accessible degrees of freedoms to optimally design their operational modes. To
Externí odkaz:
http://arxiv.org/abs/2006.12384
Publikováno v:
2019 International Radar Conference (RADAR), Sep 2019, TOULON, France. pp.1 - 6
Multifunction radars (MFR) are met with complex capability requirements, involving various kinds of targets and saturating scenarios. In order to achieve these goals, radar systems use Active Electronically Scanned Array (AESA) to switch between thei
Externí odkaz:
http://arxiv.org/abs/2005.05604