POLAR converts scaleless monocular depth maps to metric scale via radar-guided polynomial fitting and first-derivative regularization, claiming 24.9% MAE and 33.2% RMSE gains over prior methods on three datasets.
Depth estimation from monocular images and sparse radar data
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Radar-Guided Polynomial Fitting for Metric Depth Estimation
POLAR converts scaleless monocular depth maps to metric scale via radar-guided polynomial fitting and first-derivative regularization, claiming 24.9% MAE and 33.2% RMSE gains over prior methods on three datasets.