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Found 2 papers, 1 papers with code
HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views
Furthermore, it consistently outperforms SOTA 3D place recognition methods, with an average performance gain of 5. 8% on well-established urban and forest datasets.
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments
Recent progress in semantic scene understanding has primarily been enabled by the availability of semantically annotated bi-modal (camera and LiDAR) datasets in urban environments.
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