output
20202025
most citedWhat Can be Seen is What You Get: Structure Aware Point Cloud Augmentation

7 citations

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Showing 2024 · cs.CVShow all

2 papers · 2 filters

cs.CV2024★ 3 cited

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data

Jialong Wu, Mirko Meuter, Markus Schoeler +1

Radar-based perception has gained increasing attention in autonomous driving, yet the inherent sparsity of radars poses challenges. Radar raw data often contains excessive noise, w…

cs.CV2024★ 1 cited

A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance

Andrea Matteazzi, Pascal Colling, Michael Arnold +1

In recent years considerable research in LiDAR semantic segmentation was conducted, introducing several new state of the art models. However, most research focuses on single-scan p…