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Copies historical iteration data to the system clipboard for external analysis.
Distinct from Data Export: Distinct from Data Export: focuses on copying performance-specific iteration data to the clipboard rather than general file-based data export.
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This 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
Copies historical iteration data to the system clipboard for external analysis or logging purposes.