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estimator_status delete unused nan_flags
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@ -6,7 +6,6 @@ float32[3] vibe # IMU vibration metrics in the following array locations
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# 1 : Gyro high frequency vibe = filtered length of (delta_angle - prev_delta_angle)
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# 2 : Accel high frequency vibe = filtered length of (delta_velocity - prev_delta_velocity)
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uint8 nan_flags # Bitmask to indicate NaN states
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uint8 health_flags # Bitmask to indicate sensor health states (vel, pos, hgt)
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uint8 timeout_flags # Bitmask to indicate timeout flags (vel, pos, hgt)
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float32[24] covariances # Diagonal Elements of Covariance Matrix
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@ -1428,7 +1428,6 @@ void Ekf2::run()
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_ekf.get_ekf_soln_status(&status.solution_status_flags);
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_ekf.get_imu_vibe_metrics(status.vibe);
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status.time_slip = _last_time_slip_us / 1e6f;
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status.nan_flags = 0.0f; // unused
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status.health_flags = 0.0f; // unused
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status.timeout_flags = 0.0f; // unused
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status.pre_flt_fail = _preflt_fail;
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@ -622,7 +622,6 @@ void BlockLocalPositionEstimator::publishEstimatorStatus()
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}
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_pub_est_status.get().n_states = n_x;
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_pub_est_status.get().nan_flags = 0;
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_pub_est_status.get().health_flags = _sensorFault;
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_pub_est_status.get().timeout_flags = _sensorTimeout;
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_pub_est_status.get().pos_horiz_accuracy = _pub_gpos.get().eph;
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@ -2203,7 +2203,6 @@ protected:
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msg.covariance[i] = est.covariances[i];
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}
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msg.covariance[9] = est.nan_flags;
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msg.covariance[10] = est.health_flags;
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msg.covariance[11] = est.timeout_flags;
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