CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images

Authors

Ruiwen He (ORCID: https://orcid.org/0000-0002-5381-6068)
Ni Zhu (ORCID: https://orcid.org/0000-0003-4033-3558)
Zhiqiang Wang (ORCID: https://orcid.org/0000-0002-0002-5203)

Institutions

Pôle Léonard de Vinci (FR)
Ecole Supérieure d'Ingénieurs Léonard de Vinci (FR)

Publication Details

Journal: Engineering Applications of Artificial Intelligence
Published: 2025-02-04
DOI: https://doi.org/10.1016/j.engappai.2025.110160
Citations: 5
Primary Topic: Target Tracking and Data Fusion in Sensor Networks
Type: article
Field-Weighted Citation Impact: 12.40

Funders

Agence Nationale de la Recherche

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article

CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images

Ruiwen He, Ni Zhu, Zhiqiang Wang

Feb 4, 2025

5 citations

Engineering Applications of Artificial Intelligence

Target Tracking and Data Fusion in Sensor Networks

12.40

article

CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images

Ruiwen He, Ni Zhu, Zhiqiang Wang

February 4, 2025article en

5 citations

Abstract

No abstract available for this paper.

Engineering Applications of Artificial IntelligenceVol. 145

Pôle Léonard de Vinci (FR), Ecole Supérieure d'Ingénieurs Léonard de Vinci (FR)

Agence Nationale de la Recherche

Openalex Percentile: Top 2%

Target Tracking and Data Fusion in Sensor Networks

12.40

DOI Open Access PDF OpenAlex

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