RTAB-Map 0.18.0
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ABOUT RTAB-Map
RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source RGB-D Graph-Based SLAM approach based on an incremental appearance-based loop closure detector. The loop closure detector uses a bag-of-words approach to determinate how likely a new image comes from a previous location or a new location. When a loop closure hypothesis is accepted, a new constraint is added to the map's graph, then a graph optimizer minimizes the errors in the map. A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization, so that real-time constraints on large-scale environnements are always respected. Model of the featured video on Sketchfab here: https://skfb.ly/6nryX For questions, ask on the forum or on Github: http://introlab.github.io/rtabmap/#troubleshooting *** It works only on Project Tango Features: * Online 3D scanning/mapping of the environment * Online loop closure detection and map correction * Save in DB format (RTAB-Map desktop format) * Export in PLY or OBJ (with textures up to 720p) * Multi-session mapping (save and continue later) * Localization-only mode (in a previous session) * Trajectory mode where point clouds are not saved (similar to Area Learning) * Post-processing options (e.g., use Bundle Adjustment to align textures)