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kriswiner / EM7180_SENtral_sensor_hub

(Affordable) Ultimate Sensor Fusion Solution
https://www.tindie.com/products/onehorse/ultimate-sensor-fusion-solution/
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Best practices for tracking drift and measuring performance #53

Open carbotaniuman opened 5 years ago

carbotaniuman commented 5 years ago

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 5 years ago

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 notifications@github.com 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 5 years ago

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

kriswiner commented 5 years ago

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 notifications@github.com 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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