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🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
📌 PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map [RSS 25]
Pipeline for spatio-temporal consistent mapping in highly dynamic environments
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