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@ -431,9 +431,6 @@ void Ekf::fuseOptFlow()
@@ -431,9 +431,6 @@ void Ekf::fuseOptFlow()
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gain[row] = Kfusion[row][obs_index]; |
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} |
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// Update the state vector
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fuse(gain, _flow_innov[obs_index]); |
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// apply covariance correction via P_new = (I -K*H)*P
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// first calculate expression for KHP
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// then calculate P - KHP
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@ -456,16 +453,48 @@ void Ekf::fuseOptFlow()
@@ -456,16 +453,48 @@ void Ekf::fuseOptFlow()
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} |
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} |
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for (unsigned row = 0; row < _k_num_states; row++) { |
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for (unsigned column = 0; column < _k_num_states; column++) { |
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P[row][column] -= KHP[row][column]; |
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// if the covariance correction will result in a negative variance, then
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// the covariance marix is unhealthy and must be corrected
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bool healthy = true; |
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_fault_status.bad_optflow_X = false; |
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_fault_status.bad_optflow_Y = false; |
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for (int i = 0; i < _k_num_states; i++) { |
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if (P[i][i] < KHP[i][i]) { |
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// zero rows and columns
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zeroRows(P,i,i); |
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zeroCols(P,i,i); |
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//flag as unhealthy
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healthy = false; |
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// update individual measurement health status
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if (obs_index == 0) { |
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_fault_status.bad_optflow_X = true; |
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} else if (obs_index == 1) { |
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_fault_status.bad_optflow_Y = true; |
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} |
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} |
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} |
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_time_last_of_fuse = _time_last_imu; |
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_gps_check_fail_status.value = 0; |
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makeSymmetrical(); |
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limitCov(); |
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// only apply covariance and state corrrections if healthy
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if (healthy) { |
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// apply the covariance corrections
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for (unsigned row = 0; row < _k_num_states; row++) { |
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for (unsigned column = 0; column < _k_num_states; column++) { |
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P[row][column] = P[row][column] - KHP[row][column]; |
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} |
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} |
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// correct the covariance marix for gross errors
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makeSymmetrical(); |
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limitCov(); |
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// apply the state corrections
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fuse(gain, _flow_innov[obs_index]); |
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_time_last_of_fuse = _time_last_imu; |
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_gps_check_fail_status.value = 0; |
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} |
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} |
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} |
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