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Indoor Localization

Indoor localization is a fundamental problem in indoor location-based applications.

Papers

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Showing 131–140 of 250 papers

TitleStatusHype
Multiview Variational Deep Learning with Application to Scalable Indoor Localization—0
NeRF2: Neural Radio-Frequency Radiance Fields—0
Neural 5G Indoor Localization with IMU Supervision—0
Neural-Network-based NLOS Identification in Angular Domain at 60-GHz—0
Neural Network-Based Ranging with LTE Channel Impulse Response for Localization in Indoor Environments—0
Novel Visible Light Communication Assisted Perspective-Four-Line Algorithm for Indoor Localization—0
Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization—0
On the Connection Between Magnetic-Field Odometry Aided Inertial Navigation and Magnetic-Field SLAM—0
On the Multidimensional Augmentation of Fingerprint Data for Indoor Localization in A Large-Scale Building Complex Based on Multi-Output Gaussian Process—0
Optical Camera Communications: Survey, Use Cases, Challenges, and Future Trends—0
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