Description:
Visual and LiDAR SLAM library and standalone application
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Type: Formula
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Latest Version: 0.23.1@2
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Tracked Since: Nov 2, 2025
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Links:
Homepage |
formulae.brew.sh
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Category: Developer tools
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Tags:
slam
robotics
computer-vision
mapping
lidar
3d-reconstruction
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Install:
brew install rtabmap
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About:
RTAB-Map is a real-time visual and LiDAR SLAM library and standalone application. It provides a comprehensive solution for 3D mapping, localization, and loop closure detection using both camera and LiDAR data. Its main value is enabling robust autonomous navigation and mapping in robotics and augmented reality applications.
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Key Features:
- Multi-sensor fusion (RGB-D, stereo, LiDAR, IMU)
- Real-time 3D mapping and loop closure detection
- Support for various backends (g2o, GTSAM, Ceres)
- Standalone GUI application for data visualization
- ROS integration
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Use Cases:
- Autonomous mobile robot navigation and mapping
- Drone-based aerial mapping and surveying
- Augmented reality and virtual reality content creation
- 3D environment reconstruction
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Alternatives:
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ORB-SLAM3
– ORB-SLAM3 is primarily a visual-inertial SLAM system, while RTAB-Map offers broader sensor fusion including LiDAR and focuses more on long-term large-scale mapping.
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Cartographer
– Cartographer is a LiDAR-focused SLAM system by Google, whereas RTAB-Map provides a more integrated multi-modal approach with strong visual loop closure capabilities.
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