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Product Requirements & Platform Availability for Point Cloud Toolbox
is introduced in R2020b
Supported Platforms
Product Requirements
- Simulink required for Point Cloud Toolbox block library
- Deep Learning Toolbox required for deep learning functionality, including training frameworks and layers for object detection and semantic segmentation
- Parallel Computing Toolbox required for GPU acceleration of deep learning functionality
- Computer Vision Toolbox and Deep Learning Toolbox required for point cloud segmentation using Segment Anything Model functions:
- pcsegsam
- segmentAnythingAerialLidar
- Computer Vision Toolbox is required for the following capabilities
- Lidar – Camera Calibration Functions
- estimateBoardCornersCamera
- estimateBoardCornersLidar
- estimateLidarCameraTransform
- LidarCamera Fusion functions
- bboxCameraToLidar
- bboxLidarToCamera
- fuseCameraToLidar
- projectLidarPointsOnImage
- Lidar Camera Calibrator app (lidarCameraCalibrator)
- Video labeling using Multi-Sensor Labeler app (multiSensorLabeler)
- Image Processing Toolbox required for Point Cloud Registration using phase correlation approach (pcregistercorr)
- Mapping Toolbox required for lasFileReader (.readCRS method)
- Navigation Toolbox required for 2-D pose graph functionality, lidarscanmap (.poseGraph method)
- ROS Toolbox required to import ROS data from Point Cloud Analyzer app and Multi-Sensor Labeler app
Eligible for Use with MATLAB Compiler and Simulink Compiler
Eligible for Use with Parallel Computing Toolbox and MATLAB Parallel Server
Yes
