2025
3D-UnOutDet: A Fast and Efficient Unsupervised Snow Removal Algorithm for 3D LiDAR Point Clouds
IROS 2025
In this work, we propose a novel, fast, and memory-efficient unsupervised statistical method, combined with an unsupervised deep learning (DL) model, for de-snowing 3D LiDAR point clouds in a fully unsupervised fashion. The results obtained on the real-scanned Winter Adverse Driving dataSet (WADS) s