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LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning
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LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning

cCaugkan Yapar
Ron Levie
Gitta Kutyniok
Giuseppe Caire
ArXiv (abs)PDFHTML

Papers citing "LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning"

4 / 4 papers shown
Title
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
Xiaojie Li
Songyang Zhang
Hang Li
Xiaoyang Li
Lexi Xu
Haigao Xu
Hui Mei
Guangxu Zhu
Nan Qi
Ming Xiao
89
6
0
25 Mar 2024
On the Effective Usage of Priors in RSS-based Localization
On the Effective Usage of Priors in RSS-based Localization
cCaugkan Yapar
Fabian Jaensch
Ron Levie
Giuseppe Caire
53
1
0
28 Nov 2022
Dataset of Pathloss and ToA Radio Maps With Localization Application
Dataset of Pathloss and ToA Radio Maps With Localization Application
cCaugkan Yapar
Ron Levie
Gitta Kutyniok
Giuseppe Caire
59
26
0
18 Nov 2022
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
cCaugkan Yapar
Ron Levie
Gitta Kutyniok
Giuseppe Caire
124
38
0
23 Jun 2021

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