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lpe: fix innovation covariance publishing
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@ -168,14 +168,18 @@ void BlockLocalPositionEstimator::flowCorrect()
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// residual
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Vector<float, 2> r = y - C * _x;
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// residual covariance
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Matrix<float, n_y_flow, n_y_flow> S = C * _P * C.transpose()) + R;
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// publish innovations
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_pub_innov.get().flow_innov[0] = r(0);
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_pub_innov.get().flow_innov[1] = r(1);
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_pub_innov.get().flow_innov_var[0] = R(0, 0);
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_pub_innov.get().flow_innov_var[1] = R(1, 1);
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_pub_innov.get().flow_innov_var[0] = S(0, 0);
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_pub_innov.get().flow_innov_var[1] = S(1, 1);
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// residual covariance, (inverse)
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Matrix<float, n_y_flow, n_y_flow> S_I =
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inv<float, n_y_flow>(C * _P * C.transpose() + R);
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Matrix<float, n_y_flow, n_y_flow> S_I = inv(C);
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// fault detection
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float beta = (r.transpose() * (S_I * r))(0, 0);
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@ -167,7 +167,6 @@ void BlockLocalPositionEstimator::gpsCorrect()
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var_vz = gps_s_stddev * gps_s_stddev;
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}
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R(0, 0) = var_xy;
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R(1, 1) = var_xy;
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R(2, 2) = var_z;
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@ -185,12 +184,17 @@ void BlockLocalPositionEstimator::gpsCorrect()
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// residual
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Vector<float, n_y_gps> r = y - C * x0;
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// residual covariance
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Matrix<float, n_y_gps, n_y_gps> S = C * _P * C.transpose()) + R;
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// publish innovations
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for (int i = 0; i < 6; i ++) {
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_pub_innov.get().vel_pos_innov[i] = r(i);
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_pub_innov.get().vel_pos_innov_var[i] = R(i, i);
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_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
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}
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Matrix<float, n_y_gps, n_y_gps> S_I = inv<float, 6>(C * _P * C.transpose() + R);
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// residual covariance, (inverse)
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Matrix<float, n_y_gps, n_y_gps> S_I = inv(C);
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// fault detection
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float beta = (r.transpose() * (S_I * r))(0, 0);
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@ -85,11 +85,14 @@ void BlockLocalPositionEstimator::lidarCorrect()
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R(0, 0) = cov;
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}
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// residual
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Matrix<float, n_y_lidar, n_y_lidar> S_I = inv<float, n_y_lidar>((C * _P * C.transpose()) + R);
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Vector<float, n_y_lidar> r = y - C * _x;
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// residual covariance
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Matrix<float, n_y_lidar, n_y_lidar> S = C * _P * C.transpose()) + R;
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// residual covariance, (inverse)
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Matrix<float, n_y_lidar, n_y_lidar> S_I = inv(C);
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// publish innovations
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_pub_innov.get().hagl_innov = r(0);
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_pub_innov.get().hagl_innov_var = R(0, 0);
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_pub_innov.get().hagl_innov_var = S(0, 0);
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// fault detection
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float beta = (r.transpose() * (S_I * r))(0, 0);
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@ -74,8 +74,22 @@ void BlockLocalPositionEstimator::mocapCorrect()
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R(Y_mocap_z, Y_mocap_z) = mocap_p_var;
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// residual
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Matrix<float, n_y_mocap, n_y_mocap> S_I = inv<float, n_y_mocap>((C * _P * C.transpose()) + R);
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Matrix<float, n_y_mocap, 1> r = y - C * _x;
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Vector<float, n_y_mocap> r = y - C * _x;
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// residual covariance
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Matrix<float, n_y_mocap, n_y_mocap> S = C * _P * C.transpose()) + R;
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// publish innovations
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for (int i = 0; i < 3; i ++) {
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_pub_innov.get().vel_pos_innov[i] = r(i);
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_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
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}
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for (int i = 3; i < 6; i ++) {
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_pub_innov.get().vel_pos_innov[i] = 0;
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_pub_innov.get().vel_pos_innov_var[i] = 1;
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}
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// residual covariance, (inverse)
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Matrix<float, n_y_mocap, n_y_mocap> S_I = inv(C);
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// fault detection
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float beta = (r.transpose() * (S_I * r))(0, 0);
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@ -105,12 +105,15 @@ void BlockLocalPositionEstimator::sonarCorrect()
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// residual
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Vector<float, n_y_sonar> r = y - C * _x;
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// residual covariance
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Matrix<float, n_y_sonar, n_y_sonar> S = C * _P * C.transpose()) + R;
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// publish innovations
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_pub_innov.get().hagl_innov = r(0);
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_pub_innov.get().hagl_innov_var = R(0, 0);
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_pub_innov.get().hagl_innov_var = S(0, 0);
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// residual covariance, (inverse)
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Matrix<float, n_y_sonar, n_y_sonar> S_I =
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inv<float, n_y_sonar>(C * _P * C.transpose() + R);
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Matrix<float, n_y_sonar, n_y_sonar> S_I = inv(C);
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// fault detection
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float beta = (r.transpose() * (S_I * r))(0, 0);
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@ -149,5 +152,3 @@ void BlockLocalPositionEstimator::sonarCheckTimeout()
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}
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}
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}
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