Hello All,

We are using Matrice 100 for an indoor environment automation, and we like to measure the orientation of the drone while it is flying. At the areas of High Magnetic Interference, the drone drifts and so the heading changes. In order to compensate for the heading direction, we like to measure the angle of deflection. For this, it is possible to measure using guidance IMU sensor (/guidance/imu) or odometry publisher from the drone itself (/dji_sdk/odometry). Both of the values are almost similar and the orientation values lie in the range (-1,1). After this angle conversion is done and the approach looks fine. But the data obtained by the subscriber corresponding to the topics looks very old compared to the current time. We are not sure of the reason where the lag occurs. Although the rate of publishing is so high, the data at the subscriber looks old compared to present orientation.

Has anyone faced similar issues on this. If so, I kindly request you to let me know on the fix.

Thank you,
Venkatachalam Srinivasan

Hello All,

We are using Matrice 100 for an indoor environment automation, and we like to measure the orientation of the drone while it is flying. At the areas of High Magnetic Interference, the drone drifts and so the heading changes. In order to compensate for the heading direction, we like to measure the angle of deflection. For this, it is possible to measure using guidance IMU sensor (/guidance/imu) or odometry publisher from the drone itself (/dji_sdk/odometry). Both of the values are almost similar and the orientation values lie in the range (-1,1). After this angle conversion is done and the approach looks fine. But the data obtained by the subscriber corresponding to the topics looks very old compared to the current time. We are not sure of the reason where the lag occurs. Although the rate of publishing is so high, the data at the subscriber looks old compared to present orientation.

Has anyone faced similar issues on this. If so, I kindly request you to let me know on the fix.

Thank you,
Venkatachalam Srinivasan