October 13, 2025Open Access

Point-Plane Projections for Accurate LiDAR Semantic Segmentation in Small Data Scenarios

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Significant improvements were seen in semantic segmentation accuracy in data-scarce scenarios.
Our method utilizes point-plane projections, enhancing feature extraction from 2D representations.
An effective geometry-aware technique was introduced for data augmentation, addressing class imbalance.
The approach achieved competitive results on standard datasets like SemanticKITTI and PandaSet.

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Our method improves semantic segmentation accuracy using point-plane projections in data-scarce scenarios, suggesting effective LiDAR utilization.

Mosco et al. (2025) studied this question.

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Our method improves semantic segmentation accuracy using point-plane projections in data-scarce scenarios, suggesting effective LiDAR utilization.