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Deviation in trajectory #219

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rocomanmelli opened this issue May 17, 2019 · 1 comment
Open

Deviation in trajectory #219

rocomanmelli opened this issue May 17, 2019 · 1 comment

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@rocomanmelli
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Hi!

We are running your visual inertial odometry system on a public agricultural dataset recorded by us (you can check it out here: http://www.cifasis-conicet.gov.ar/robot/doku.php). Some of the results we got are shown in this screenshot:

rovio_issue

As you can see, the trajectories estimated by Rovio, except in sequence 1, tend to have some kind of deviation with respect to the ground truth. The configuration files used are:

zavalla_cam0.txt
zavalla_cam1.txt
rovio_zavalla_sequence01.txt -> For sequences 1, 3 and 4.
rovio_zavalla_sequence05.txt -> For sequence 5.

Intrinsic cameras calibrations and extrinsic imu-camera calibrations were obtained with Kalibr and other SLAM systems (SPTAM, ORB_SLAM2, MSCKF_VIO) were tested with them on this dataset and we had no problems. However we do have some doubts about the covariances and other configurations.

One thing we know that could be wrong is the synchronization between sensors. However, we would expect the whole system to crash from the start if that was the main problem.

Is there any recommendation you could give us? Do you have any idea of what could be happening?

Thanks in advance.

Román.

@mhkabir
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mhkabir commented May 17, 2019

Your IMU and camera are not synchronised. As Rovio is a tightly coupled visual-inertial system, you cannot expect any results unless you have accurate timestamping of camera images and IMU data against the same clock.

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