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Early results with the calibration of the zau rgbd hand camera showed that the camera was badly positioned (#970).
I then worked on #971 to be able to correct the initial guess so that it is more or less plausible, as can be seen at the end of #970.
Now the idea is to calibrate the system with depth cameras to see if it works better (before it was over 100 pixels of error).
The text was updated successfully, but these errors were encountered:
clear && \ export CSF="lambda x: int(x) not in []" \ && rosrun atom_calibration calibrate \ -json $ATOM_DATASETS/zau/inesc_day2_5_full/dataset_corrected_with_odometry_and_depth.json \ -uic -v \ -csf "$CSF" \ -jsf "lambda x: False" \ -jpsf "lambda x: x in ['origin_yaw']"
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Results using the depth camera initial estimate corrected dataset
+------------+----------------+--------------------+---------------------+---------------------+ | Collection | lidar_body [m] | rgb_body_left [px] | rgb_body_right [px] | rgbd_hand_depth [m] | +------------+----------------+--------------------+---------------------+---------------------+ | Averages | 0.0092 | 11.1405 | 5.7684 | 0.0073 | +------------+----------------+--------------------+---------------------+---------------------+
I guess this means we have good results.
The color sensor in the rgbd_hand camera must also be corrected. I will try to do this also.
miguelriemoliveira
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Early results with the calibration of the zau rgbd hand camera showed that the camera was badly positioned (#970).
I then worked on #971 to be able to correct the initial guess so that it is more or less plausible, as can be seen at the end of #970.
Now the idea is to calibrate the system with depth cameras to see if it works better (before it was over 100 pixels of error).
The text was updated successfully, but these errors were encountered: