RTAB-Map APK

RTAB-Map  Icon
    
4.79/5
8 Ratings
Developer
Mathieu Labbé
Current Version
0.11.11
Date Published
File Size
10.6 MB
Package ID
com.introlab.rtabmap
Price
$ 0.00
Downloads
395+
Category
Android Apps
Genre
Tools

APK Version History

Version
0.11.11 (23)
Architecture
armeabi-v7a
Release Date
November 24, 2016
Requirement
Android 4.2+
Version
0.11.11 (22)
Architecture
armeabi-v7a
Release Date
November 22, 2016
Requirement
Android 4.2+
Version
0.11.11 (20)
Architecture
armeabi-v7a
Release Date
November 19, 2016
Requirement
Android 4.2+
Version
0.11.11 (17)
Architecture
armeabi-v7a
Release Date
November 17, 2016
Requirement
Android 4.2+
Version
0.11.11 (15)
Architecture
armeabi-v7a
Release Date
November 05, 2016
Requirement
Android 4.2+
Version
0.11.11 (14)
Architecture
armeabi-v7a
Release Date
November 02, 2016
Requirement
Android 4.2+
Version
0.11.11 (13)
Architecture
armeabi-v7a
Release Date
October 30, 2016
Requirement
Android 4.2+
Version
0.11.10 (12)
Architecture
armeabi-v7a
Release Date
September 11, 2016
Requirement
Android 4.2+
Version
0.11.10 (10)
Architecture
armeabi-v7a
Release Date
September 04, 2016
Requirement
Android 4.2+
Version
0.11.5 (9)
Architecture
armeabi-v7a
Release Date
October 24, 2018
Requirement
Android 4.2+
Version
0.11.3 (8)
Architecture
armeabi-v7a
Release Date
April 12, 2016
Requirement
Android 4.2+
Version
0.11.3 (6)
Architecture
armeabi-v7a
Release Date
April 09, 2016
Requirement
Android 4.2+
Version
0.11.3 (2)
Architecture
armeabi-v7a
Release Date
April 04, 2016
Requirement
Android 4.2+
  • RTAB-Map Screenshot
  • RTAB-Map Screenshot
  • RTAB-Map Screenshot

About Radio FM 90s

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.

What's New in this version

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.