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Indoor Localization with Robust Global Channel Charting: A
  Time-Distance-Based Approach

Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach

7 October 2022
Maximilian Stahlke
G. Yammine
Tobias Feigl
Bjoern M. Eskofier
Christopher Mutschler
ArXivPDFHTML

Papers citing "Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach"

5 / 5 papers shown
Title
Leveraging triplet loss and nonlinear dimensionality reduction for
  on-the-fly channel charting
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
Taha Yassine
Luc Le Magoarou
S. Paquelet
M. Crussiére
63
12
0
04 Apr 2022
Semi-Supervised Learning for Channel Charting-Aided IoT Localization in
  Millimeter Wave Networks
Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks
Qianqian Zhang
Walid Saad
23
12
0
03 Aug 2021
Efficient channel charting via phase-insensitive distance computation
Efficient channel charting via phase-insensitive distance computation
Luc Le Magoarou
51
15
0
27 Apr 2021
Improving Channel Charting with Representation-Constrained Autoencoders
Improving Channel Charting with Representation-Constrained Autoencoders
Pengzhi Huang
Oscar Castañeda
Emre Gönültaş
Said Medjkouh
O. Tirkkonen
Tom Goldstein
Christoph Studer
33
34
0
07 Aug 2019
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
283
2,683
0
12 Sep 2018
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