A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications
2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC（2023）
Key words
Spatiotemporal Correspondence,LiDAR Segmentation,Supervised Learning,Unsupervised Learning,Point Cloud,Autonomous Vehicles,Semantic Segmentation,Clusters Of Points,Learning Works,Dynamic Point,LiDAR Point Clouds,Semantic Groups,Output Value,Data Augmentation,Bounding Box,Ground Truth Labels,3D Point,Single Shot,Cluster Centroids,Self-supervised Learning,Dynamic Objects,Static Objects,Iterative Closest Point,Simple Threshold,Semantic Labels,Nearest Neighbor Points,Background Points,Geometric Transformation,Point Cloud Data,Segmental Dynamics
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