1 dépôt
Awesome GitHub RepositoriesMap Data Exports
Utilities for exporting spatial models and camera textures into standard formats for external processing.
Distinct from Map Optimization Data Exports: Distinct from Map Optimization Data Exports: focuses on general-purpose 3D model and texture export rather than batch optimization state.
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Awesome Map Data Exports GitHub Repositories
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- introlab/rtabmap
introlab/rtabmap
3,836Voir sur GitHubThis project is a comprehensive library and toolkit for simultaneous localization and mapping, designed to construct three-dimensional environment models while tracking device position. It functions as a robotics perception framework that processes data from RGB-D, stereo, and lidar sensors to enable autonomous navigation and spatial awareness. The system distinguishes itself through its focus on long-term mapping and global consistency. It employs a sophisticated loop-closure detection engine and graph-based pose optimization to identify previously visited locations and eliminate cumulative
Exports generated spatial models and camera textures into standard 3D formats for external use.
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