Best practices for tracking drift and measuring performance

[carbotaniuman]

Hello Kris,

I'm currently developing an IMU for a closed ecosystem and I wanted to compare my solution to existing COTS products (mainly heading wise). Do you have any tips on accomplishing this?

Thanks

[kriswiner]

Get a low-cost rotary stage for reproducible testing, like this https://hackaday.com/wp-content/uploads/2019/03/hackaday_journal-gregorytomasch_kriswiner-heading_accuracy_using_mems_sensors.pdf one. Put your solution together with other COTS solutions on the same pcb for ease of testing. Develop a standard calibration procedure, etc.

On Sun, Apr 21, 2019 at 5:20 PM carbotaniuman [email protected] wrote:

Hello Kris,

I'm currently developing an IMU for a closed ecosystem and I wanted to compare my solution to existing COTS products (mainly heading wise). Do you have any tips on accomplishing this?

Thanks

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/kriswiner/EM7180_SENtral_sensor_hub/issues/53, or mute the thread https://github.com/notifications/unsubscribe-auth/ABTDLKWBY2CTWMVO77N3QRDPRUAGVANCNFSM4HHMV4NQ .

[carbotaniuman]

@kriswiner I got something set up. Is there anything better for 6DoF accel + gyro fusion than an Extended Kalman Filter?

[kriswiner]

Better, don't know. Different, there is this https://github.com/kriswiner/MPU6050/blob/master/quaternionFilter.ino.

On Mon, May 20, 2019 at 5:35 PM carbotaniuman [email protected] wrote:

@kriswiner https://github.com/kriswiner I got something set up. Is there anything better for 6DoF accel + gyro fusion than an Extended Kalman Filter?

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