Exploring State Space Models in LiDAR Point Cloud Segmentation

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Mamba-based algorithms improved LiDAR point cloud segmentation accuracy significantly, indicating strong potential.
Algorithm performance evaluation on the DALES LiDAR dataset demonstrated effective spatial preservation with novel indicators.
PointMamba and PointCloudMamba show promise in handling irregular data structures prevalent in LiDAR processing.
The study highlights how better token serialization leads to improved geometric relationship preservation, enhancing segmentation.

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Investigating Mamba-based algorithms for segmentation in LiDAR point clouds, highlighting serialization's impact.

Lu et al. (2025) studied this question.

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