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Found 4 papers, 2 papers with code
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms.
High-Precision Machine-Learning Based Indoor Localization with Massive MIMO System
High-precision cellular-based localization is one of the key technologies for next-generation communication systems.
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
The dataset includes color images, corresponding depth maps, inertial measurement unit (IMU) readings, channel response between a 5G massive multiple-input and multiple-output (MIMO) testbed and user equipment, audio recorded by 12 microphones, and accurate six degrees of freedom (6DOF) pose ground truth of 0. 5 mm.
Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data
Classification between different activities in an indoor environment using wireless signals is an emerging technology for various applications, including intrusion detection, patient care, and smart home.
