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EKF: Improve protection against bad optical flow fusion
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+39
-10
@@ -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()
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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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