RTAB-Map

Mathieu Labbé‏

اس ایپ کے بارے میں

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)
* Added "Settings->Mapping->Save GPS" option (default disabled) to save GPS coordinates in the database. See issue #226 on project's page for more info.

نیا کیا ہے

Version 0.18
- Updated default of max optimization error to 3x.
- Updated odom covariance to better optimize orientations.
- Fixed new databases not seen on MTP.
- Added option to save environmental sensors
- Fixed GPS bearing in landscape orientation

NOTE: This is the last official release of RTAB-Map for Google Tango (as Play Store will require at least API 26 on November 1st 2018). Follow docker APK installation instructions on the project's website for future releases.