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[X] This issue is not a question, bug report, or anything other than a feature request directly related to this project.
Proposal
Hello,
I have a dataset (.svo files) that I use to test & compare SLAM approaches. In the approaches that use Visual-Inertial Odometry, such as OKVIS, I found that calibration parameters of the IMU with respect to the camera frame are required. For example, spatial and temporal calibration of an IMU w.r.t a camera-system. Also, they require the IMU noise parameters.
Unfortunately, I don’t have access to the camera (zed mini) that was used to capture the dataset I have. Thus, I can’t do the calibration.
I do know about the calibration file which has the camera intrinsic & extrinsic params. Is it possible to get those parameters for the IMU in a similar way as well?
Could you please help me if there’s a current method to get them without the camera? Otherwise, I think it might be a nice feature to add.
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Preliminary Checks
Proposal
Hello, I have a dataset (.svo files) that I use to test & compare SLAM approaches. In the approaches that use Visual-Inertial Odometry, such as OKVIS, I found that calibration parameters of the IMU with respect to the camera frame are required. For example, spatial and temporal calibration of an IMU w.r.t a camera-system. Also, they require the IMU noise parameters. Unfortunately, I don’t have access to the camera (zed mini) that was used to capture the dataset I have. Thus, I can’t do the calibration. I do know about the calibration file which has the camera intrinsic & extrinsic params. Is it possible to get those parameters for the IMU in a similar way as well? Could you please help me if there’s a current method to get them without the camera? Otherwise, I think it might be a nice feature to add.
Use-Case
No response
Anything else?
No response