Beyond the Snowflakes: Disentangling Weather Effects from Confounding Meta-Factors in LiDAR Object Detection

cs.CV, cs.RO

Submitted: 2026-10-09

Updated: 2026-10-09

Comments: IROS 2026, 8 pages, 8 figures

Code: https://github.com/open-mmlab/mmdetection3d

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+
• VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
• DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather
• ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling
• Methodology for an Analysis of Influencing Factors on 3D Object Detection Performance

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models