PropSplat uses optimized 3D Gaussians initialized on transmitter-receiver paths to achieve lower RMSE than NeRF2, GSRF, and WRF-GS+ on outdoor drive-test and indoor BLE datasets while enabling map-free RF reconstruction.
Rfcanvas: Modeling rf channel by fusing visual priors and few-shot rf measurements
2 Pith papers cite this work. Polarity classification is still indexing.
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Semi-structured interviews with 18 participants identify both shared and group-specific factors shaping privacy preferences of vehicle owners versus non-owners in smart cabins.
citing papers explorer
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PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting
PropSplat uses optimized 3D Gaussians initialized on transmitter-receiver paths to achieve lower RMSE than NeRF2, GSRF, and WRF-GS+ on outdoor drive-test and indoor BLE datasets while enabling map-free RF reconstruction.
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Privacy Perceptions in Sensor-Powered Smart Vehicle Cabins
Semi-structured interviews with 18 participants identify both shared and group-specific factors shaping privacy preferences of vehicle owners versus non-owners in smart cabins.