RTAB-Map
৪.৮star
৯২ টা পৰ্যালোচনা
১ হাজাৰ+
ডাউনল’ড
সকলো
info
এই এপ্টোৰ বিষয়ে
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.
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.
আপডে’ট কৰা তাৰিখ
বিকাশকৰ্তাসকলে আপোনাৰ ডেটা কেনেকৈ সংগ্ৰহ আৰু শ্বেয়াৰ কৰে সেয়া বুজি পোৱাৰ জৰিয়তে সুৰক্ষা আৰম্ভ হয়। ডেটাৰ গোপনীয়তা আৰু সুৰক্ষা প্ৰণালী আপোনাৰ ব্যৱহাৰ, অঞ্চল আৰু বয়সৰ ওপৰত ভিত্তি কৰি ভিন্ন হ’ব পাৰে। বিকাশকৰ্তাগৰাকীয়ে এই তথ্যখিনি প্ৰদান কৰিছে আৰু সময়ৰ লগে লগে এয়া আপডে’ট কৰিব পাৰে।
মূল্যাংকন আৰু পৰ্যালোচনাসমূহ
৪.৭
৫৯ টা পৰ্যালোচনা
নতুন কি আছে
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.
- 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.