Comments (2)
You can try it out, but I would not expect it to work well in this use-case. As you wrote yourself IMU data usually comes at a higher frequency than camera data.
Another thing to consider is the time-synchronization, i.e. how accurate your IMU data is timestamped with respect to the camera. The system generally expects this to be very accurate.
If you try it out nevertheless, you might want consider increasing the IMU noise parameters to reflect that the IMU gives you less reliable information than normal.
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Thanks for the feedback Lukas. Really appreciate it :)
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Related Issues (20)
- Nothing happened on the GUI HOT 3
- The compilation succeeds, but the visualization window crashes when the dataset is run HOT 5
- The visualization window crashes after receiving the dataset HOT 1
- Porting to Windows, crash on init HOT 8
- Large CoarseIMUInitializer error! HOT 3
- How do I compare the data in the ground truth and the data in the result? HOT 2
- Initial velocity for initialization HOT 1
- What does integration_sigma mean? HOT 1
- gtsam symbol error HOT 2
- Can I load a map and localize the camera and pose within the map HOT 1
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- Resetting camera HOT 19
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- PreintegratedImuMeasurements::integrateMeasurement: dt <=0
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