Lidar Camera Calibrator
Interactively establish correspondences between lidar sensor and camera to fuse sensor data
Since R2021a
Description
The Lidar Camera Calibrator app interactively performs calibration using images and point clouds captured by a camera and a lidar sensor, respectively to estimate a rigid transformation between them. You can use the transformation matrix to fuse the lidar and camera data or project lidar points onto images.
Using the app, you can:
Detect, extract, and visualize checkerboard features from image and point cloud data.
Estimate the rigid transformation between the camera and the lidar using feature detection results.
Use the calibration results to fuse data from both the sensors. You can visualize point cloud data projected onto the images, and color or grayscale information from the images fused with point cloud data.
View the plotted calibration error metrics. You can remove outliers, using a threshold line, and recalibrate the remaining data.
Define a region of interest (ROI) around the checkerboard to reduce the computation resources required by the transformation estimation process.
Export the transformation and error metric data as workspace variables or MAT files. You can also create a MATLAB® script for the entire workflow.
Open the Lidar Camera Calibrator App
MATLAB Toolstrip: On the Apps tab, under Image Processing and Computer Vision, click the app icon.
MATLAB command prompt: Enter
lidarCameraCalibrator.
Programmatic Use
Version History
Introduced in R2021a
