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Study Examines Role-Based Use of Epistemic Uncertainty Estimates in 3D LiDAR Segmentation Training

A new arXiv paper explores how epistemic uncertainty estimates can be used in training models for semantic segmentation of 3D LiDAR point clouds, a task relevant to robotics, AR/VR, and remote sensing.

Read the full story at arXiv cs.CV ↗

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  1. 2026-11-05 05:00 · arXiv cs.CV
    Role-based Effectiveness of an Epistemic Uncertainty Estimate in Training Models for Semantic Segmentation of 3D LiDAR Point Clouds

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