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Found 4 papers, 3 papers with code
PCR-99: A Practical Method for Point Cloud Registration with 99% Outliers
We propose a robust method for point cloud registration that can handle both unknown scales and extreme outlier ratios.
RCDPT: Radar-Camera fusion Dense Prediction Transformer
Instead of using readout tokens, radar representations contribute additional depth information to a monocular depth estimation model and improve performance.
How Much Depth Information can Radar Contribute to a Depth Estimation Model?
In the supervision experiment, a monocular depth estimation model is trained under radar supervision to show the intrinsic depth information that radar can contribute.
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
We integrate sparse radar data into a monocular depth estimation model and introduce a novel preprocessing method for reducing the sparseness and limited field of view provided by radar.
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