SLAM
Simultaneous localization and mapping (SLAM) uses both Mapping and Localization and Pose Estimation algorithms
to build a map and localize your vehicle in that map at the same time. Use lidarSLAM
to tune your own SLAM algorithm that processes lidar scans and odometry pose
estimates to iteratively build a map. Use buildMap
to take logged and filtered data to create a map using SLAM. The SLAM Map
Builder app lets you manually modify relative poses and align scans to
improve the accuracy of your map.
For more information about what SLAM is and other SLAM tools in other MATLAB® toolboxes, see What is SLAM?.
Apps
SLAM Map Builder | Build 2-D grid maps using lidar-based SLAM |
Functions
Topics
- Choose SLAM Workflow Based on Sensor Data (Computer Vision Toolbox)
Choose the right simultaneous localization and mapping (SLAM) workflow and find topics, examples, and supported features.