- Load the calibration files from the camera and the lidar system into MATLAB Workspace.
- Extract the intrinsic parameters of the camera from the Camera Calibration File. The "cameraParameters" object can be used to store the intrinsic, extrinsic and lens distortion parameters of a camera.
- Extract the extrinsic parameters of the camera from the Camera Calibration File to determine the transformation matrix between the lidar and the camera coordinate system.
- Create a tform parameter for projection using the "rigidtform3d" object from the rotation and translation matrices obtained from the calibration file.
- Using the "projectLidarPointsOnImage" function, project the lidar points onto the 2D image using the intrinsic parameters and the tform object.
tform without checkerboard calibration
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Hello,
I am trying to project lidar onto 2D image.
I need intrinsic parameters and transformation matrix. To create an intrinsics file, I need cameraintrinsics
I don't have any checkerboard planes to apply that. Because of that, I can't use Lidar Camera Calibrator either.
I have attached calibration files from a self-calibrated camera and lidar system. I try to create my own transformation matrix so I can implement for lidar projection in Matlab. Is there any way to create it without any checker board planes?
Thank you,
-Gizem
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回答 (1 件)
Maneet Kaur Bagga
2023 年 9 月 8 日
Hi Gizem Karslioglu,
To create a transformation matrix for lidar projection without using checkerboard planes, please refer to the following steps:
For better understanding please refer to the following MATLAB Documentations provided below:
cameraParameters
rigidtform3d
projectLidarPointsOnImage
I hope this helps!
Thank You
Maneet Bagga
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