- parameter updates can be quite expensive because they trigger nearly all modules to reload all of their parameters immediately
- limit modules from updating faster than once per second
- handle saving the mag bias per sensor (across all estimator instances using that mag) in sensors/vehicle_magnetometer
- this is now saving back to the actual mag calibration CAL_MAGn_OFF{X,Y,Z}
- ekf2 reset mag mag bias on any magnetometer or calibration change
- use Kalman filter scheme to update stored mag bias parameters using all available bias estimates for that sensor
Co-authored-by: Paul Riseborough <gncsolns@gmail.com>
- ekf2 can now run in multi-instance mode (currently up to 9 instances)
- in multi mode all estimates are published to alternate topics (eg estimator_attitude instead of vehicle_attitude)
- new ekf2 selector runs in multi-instance mode to monitor and compare all instances, selecting a primary (eg N x estimator_attitude => vehicle_attitude)
- sensors module accel & gyro inconsistency checks are now relative to the mean of all instances, rather than the current primary (when active ekf2 selector is responsible for choosing primary accel & gyro)
- existing consumers of estimator_status must check estimator_selector_status to select current primary instance status
- ekf2 single instance mode is still fully supported and the default
Co-authored-by: Paul Riseborough <gncsolns@gmail.com>
- vehicle_imu/vehicle_magnetometer add monotonically increasing `calibration_count` field so that downstream subscribers are aware of calibration changes
- this allows the default priority to be set differently for internal/external sensors
- accel and gyro initialize default priority like mag in preparation for fully supporting external sensors
- fixes#15652
bresch