Zobrazeno 1 - 10
of 2 383
pro vyhledávání: '"Villien, A."'
Publikováno v:
2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sep 2019, Pise (Italia), Italy
Pedestrian Indoor localization based on modalities available in modern smartphones have been widely studied in literature and many of the specific challenges have been addressed. However, very few approaches consider the whole problem and proposed so
Externí odkaz:
http://arxiv.org/abs/2404.19538
Autor:
Sbeity, Ibrahim, Villien, Christophe, Combettes, Christophe, Denis, Benoît, Belmega, E Veronica, Chafii, Marwa
Publikováno v:
IEEE/ION PLANS 2023, Apr 2023, California, United States
This work presents a new approach for detection and exclusion (or de-weighting) of pseudo-range measurements from the Global Navigation Satellite System (GNSS) in order to improve the accuracy of single-epoch positioning, which is an essential prereq
Externí odkaz:
http://arxiv.org/abs/2306.05717
In the Global Navigation Satellite System (GNSS) context, the growing number of available satellites has lead to many challenges when it comes to choosing the most accurate pseudorange contributions, given the strong impact of biased measurements on
Externí odkaz:
http://arxiv.org/abs/2306.05319
In this paper, we address the problem of Received Signal Strength map reconstruction based on location-dependent radio measurements and utilizing side knowledge about the local region; for example, city plan, terrain height, gateway position. Dependi
Externí odkaz:
http://arxiv.org/abs/2306.05294
Publikováno v:
Louisiana History: The Journal of the Louisiana Historical Association, 2003 Apr 01. 44(2), 224-224.
Externí odkaz:
https://www.jstor.org/stable/4233920
Autor:
B. Peuportier, G. Sibiude, N. Schiopu, G. Herfray, A. Lebert, P. Villien, G. Togo, A. Mailhac, C. Valean
Environmental performance considerations in the construction sector extend from buildings to neighbourhoods, cities and territory. This transition implies a Life Cycle Assessment (LCA) adaptation to efficiently treat such complex systems. Indeed, per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0f57ec96349fc63a722dcba679adc2f
https://doi.org/10.3218/3774-6_42
https://doi.org/10.3218/3774-6_42
Autor:
Sbeity, Ibrahim1,2 (AUTHOR) ibrahim.sbeity@cea.fr, Villien, Christophe1 (AUTHOR), Denis, Benoît1 (AUTHOR), Belmega, Elena Veronica2,3 (AUTHOR)
Publikováno v:
Sensors (14248220). Feb2024, Vol. 24 Issue 3, p833. 17p.
In this paper, we present a Neural Network (NN) model based on Neural Architecture Search (NAS) and self-learning for received signal strength (RSS) map reconstruction out of sparse single-snapshot input measurements, in the case where data-augmentat
Externí odkaz:
http://arxiv.org/abs/2105.07768
Autor:
Birkeland, Bjørn Tore
Publikováno v:
Birkeland, Bjørn Tore. "Ta anstøtsstenene bort av folkets vei" . Masteroppgave, University of Oslo, 2005
Externí odkaz:
http://hdl.handle.net/10852/23499
Akademický článek
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