RTAB-Map - 3D LiDAR Scanner
No in-app products collected for this app.
| Rating | |||
|---|---|---|---|
| United States | 17%39 | 4.82 | |
| Germany | 11%25 | 4.80 | |
| China | 9%21 | 3.95 | |
| Japan | 7%15 | 4.67 | |
| Australia | 4%8 | 4.75 | |
| Canada | 4%8 | 4.88 | |
| United Kingdom | 4%8 | 4.25 | |
| Italy | 4%8 | 4.75 | |
| Poland | 4%8 | 4.50 | |
| France | 3%7 | 4.29 | |
| South Korea | 3%7 | 4.86 | |
| Russia | 3%7 | 3.86 | |
| Taiwan | 3%7 | 5.00 | |
| Austria | 3%6 | 5.00 | |
| Switzerland | 2%4 | 5.00 | |
| Finland | 2%4 | 5.00 | |
| Netherlands | 2%4 | 5.00 | |
| Singapore | 2%4 | 4.75 | |
| Czech Republic | 1%3 | 4.67 | |
| Spain | 1%3 | 4.67 |
Description
RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM (Simultaneous Localization and Mapping) approach based on an online 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 in real-time. An optional memory management approach can be 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. ARKit's visual inertial odometry (VIO) is used as the SLAM front-end for RTAB-Map (the SLAM back-end).
Note that unlike other scanning apps that optimize the map only after mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have a live feedback to know when you have enough constraints in the map for good global optimization before stopping the scan.
*** 3D reconstruction available only with LiDAR sensor.
Features:
Online 3D scanning/mapping of the environment.
Online loop closure detection and map correction.
Save in DB format (RTAB-Map desktop and rtabmap_ros format).
Export in PLY, LAS or OBJ.
Multi-session mapping (save and continue later).
Use Apriltags to help finding loop closures in textureless environments.
Mixed AR/VR First-Person in visualization mode.
Raw ARKit data recording (up to 60 Hz!), useful to record long sessions without comprising battery life.