Best practices for tracking drift and measuring performance
Opened this issue · 3 comments
carbotaniuman commented
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 commented
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 ***@***.***> 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
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carbotaniuman commented
@kriswiner I got something set up. Is there anything better for 6DoF accel + gyro fusion than an Extended Kalman Filter?
kriswiner commented
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 ***@***.***> 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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