RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM 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.
* Note that unlike other scanning apps that optimize the map after the mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have feedback live 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 or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM 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.
* Note that unlike other scanning apps that optimize the map after the mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have feedback live 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 or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM 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.
* Note that unlike other scanning apps that optimize the map after the mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have feedback live 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 or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM 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.
* Note that unlike other scanning apps that optimize the map after the mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have feedback live 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 or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM 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.
* Note that unlike other scanning apps that optimize the map after the mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have feedback live 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 or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM 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.
* Note that unlike other scanning apps that optimize the map after the mapping, with RTAB-Map you get loop closure detection and map optimization online so you can 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 format)
* Export in PLY or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

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. 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.
*** 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 format)
* Export in PLY or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode

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. 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.
*** 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 format)
* Export in PLY or OBJ
* Multi-session mapping (save and continue later)
* Use Apriltags to help find loop closures in textureless environments
* Mixed AR/VR First-Person in visualization mode