Navigation Toolbox
Navigation Toolbox™ provides algorithms and analysis tools for designing motion planning and navigation systems. The toolbox contains customizable search and sampling-based path-planners. It also contains sensor models and algorithms for multi-sensor pose estimation. You can create 2D and 3D map representations using your own data or generate maps using the simultaneous localization and mapping (SLAM) algorithms included in the toolbox. Reference examples are provided for self-driving and robotics applications.
You can generate metrics for comparing path optimality, smoothness, and performance benchmarks. The SLAM map builder app lets you interactively visualize and debug map generation. You can test your algorithms by deploying them directly to hardware (withMATLAB®Coder™or金宝app®Coder).
开始
Learn the basics of Navigation Toolbox
Sensor Models
Calibration and simulation for IMU, GPS, and range sensors
Localization and Pose Estimation
Inertial navigation, pose estimation, scan matching, Monte Carlo localization
Mapping
2-D and 3-D occupancy maps, egocentric maps, raycasting
SLAM
2-D and 3-D simultaneous localization and mapping
Motion Planning
Path metrics, RRT path planners, path following
Coordinate Transformations and Trajectories
Quaternions, rotation matrices, transformations, trajectory generation