3 papers
cs.IT2021
Feature Learning for Neural-Network-Based Positioning with Channel State Information
Emre Gönültaş, Sueda Taner, Howard Huang +1
Recent channel state information (CSI)-based positioning pipelines rely on deep neural networks (DNNs) in order to learn a mapping from estimated CSI to position. Since real-world…
cs.CV2021
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels
Jack Langerman, Ziming Qiu, Gábor Sörös +3
One of the key criticisms of deep learning is that large amounts of expensive and difficult-to-acquire training data are required in order to train models with high performance and…
eess.SP2020
CSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability Fusion
Emre Gönültaş, Eric Lei, Jack Langerman +2
Channel state information (CSI)-based fingerprinting via neural networks (NNs) is a promising approach to enable accurate indoor and outdoor positioning of user equipments (UEs), e…