Zobrazeno 1 - 10
of 334
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
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:
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.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
LSTM-Based GNSS Localization Using Satellite Measurement Features Jointly with Pseudorange Residuals
Publikováno v:
Sensors, Vol 24, Iss 3, p 833 (2024)
In the Global Navigation Satellite System (GNSS) context, the growing number of available satellites has led to many challenges when it comes to choosing the most-accurate pseudorange contributions, given the strong impact of biased measurements on p
Externí odkaz:
https://doaj.org/article/38692a9e3944426bb96e9a700f8c66e9
Publikováno v:
Integrated Computer-Aided Engineering; 2024, Vol. 31 Issue 3, p285-305, 21p