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lpe: fix innovation covariance publishing

sbg
TSC21 7 years ago committed by Lorenz Meier
parent
commit
392999c2df
  1. 12
      src/modules/local_position_estimator/sensors/flow.cpp
  2. 10
      src/modules/local_position_estimator/sensors/gps.cpp
  3. 11
      src/modules/local_position_estimator/sensors/lidar.cpp
  4. 18
      src/modules/local_position_estimator/sensors/mocap.cpp
  5. 11
      src/modules/local_position_estimator/sensors/sonar.cpp

12
src/modules/local_position_estimator/sensors/flow.cpp

@ -168,14 +168,18 @@ void BlockLocalPositionEstimator::flowCorrect() @@ -168,14 +168,18 @@ void BlockLocalPositionEstimator::flowCorrect()
// residual
Vector<float, 2> r = y - C * _x;
// residual covariance
Matrix<float, n_y_flow, n_y_flow> S = C * _P * C.transpose()) + R;
// publish innovations
_pub_innov.get().flow_innov[0] = r(0);
_pub_innov.get().flow_innov[1] = r(1);
_pub_innov.get().flow_innov_var[0] = R(0, 0);
_pub_innov.get().flow_innov_var[1] = R(1, 1);
_pub_innov.get().flow_innov_var[0] = S(0, 0);
_pub_innov.get().flow_innov_var[1] = S(1, 1);
// residual covariance, (inverse)
Matrix<float, n_y_flow, n_y_flow> S_I =
inv<float, n_y_flow>(C * _P * C.transpose() + R);
Matrix<float, n_y_flow, n_y_flow> S_I = inv(C);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);

10
src/modules/local_position_estimator/sensors/gps.cpp

@ -167,7 +167,6 @@ void BlockLocalPositionEstimator::gpsCorrect() @@ -167,7 +167,6 @@ void BlockLocalPositionEstimator::gpsCorrect()
var_vz = gps_s_stddev * gps_s_stddev;
}
R(0, 0) = var_xy;
R(1, 1) = var_xy;
R(2, 2) = var_z;
@ -185,12 +184,17 @@ void BlockLocalPositionEstimator::gpsCorrect() @@ -185,12 +184,17 @@ void BlockLocalPositionEstimator::gpsCorrect()
// residual
Vector<float, n_y_gps> r = y - C * x0;
// residual covariance
Matrix<float, n_y_gps, n_y_gps> S = C * _P * C.transpose()) + R;
// publish innovations
for (int i = 0; i < 6; i ++) {
_pub_innov.get().vel_pos_innov[i] = r(i);
_pub_innov.get().vel_pos_innov_var[i] = R(i, i);
_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
}
Matrix<float, n_y_gps, n_y_gps> S_I = inv<float, 6>(C * _P * C.transpose() + R);
// residual covariance, (inverse)
Matrix<float, n_y_gps, n_y_gps> S_I = inv(C);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);

11
src/modules/local_position_estimator/sensors/lidar.cpp

@ -85,11 +85,14 @@ void BlockLocalPositionEstimator::lidarCorrect() @@ -85,11 +85,14 @@ void BlockLocalPositionEstimator::lidarCorrect()
R(0, 0) = cov;
}
// residual
Matrix<float, n_y_lidar, n_y_lidar> S_I = inv<float, n_y_lidar>((C * _P * C.transpose()) + R);
Vector<float, n_y_lidar> r = y - C * _x;
// residual covariance
Matrix<float, n_y_lidar, n_y_lidar> S = C * _P * C.transpose()) + R;
// residual covariance, (inverse)
Matrix<float, n_y_lidar, n_y_lidar> S_I = inv(C);
// publish innovations
_pub_innov.get().hagl_innov = r(0);
_pub_innov.get().hagl_innov_var = R(0, 0);
_pub_innov.get().hagl_innov_var = S(0, 0);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);

18
src/modules/local_position_estimator/sensors/mocap.cpp

@ -74,8 +74,22 @@ void BlockLocalPositionEstimator::mocapCorrect() @@ -74,8 +74,22 @@ void BlockLocalPositionEstimator::mocapCorrect()
R(Y_mocap_z, Y_mocap_z) = mocap_p_var;
// residual
Matrix<float, n_y_mocap, n_y_mocap> S_I = inv<float, n_y_mocap>((C * _P * C.transpose()) + R);
Matrix<float, n_y_mocap, 1> r = y - C * _x;
Vector<float, n_y_mocap> r = y - C * _x;
// residual covariance
Matrix<float, n_y_mocap, n_y_mocap> S = C * _P * C.transpose()) + R;
// publish innovations
for (int i = 0; i < 3; i ++) {
_pub_innov.get().vel_pos_innov[i] = r(i);
_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
}
for (int i = 3; i < 6; i ++) {
_pub_innov.get().vel_pos_innov[i] = 0;
_pub_innov.get().vel_pos_innov_var[i] = 1;
}
// residual covariance, (inverse)
Matrix<float, n_y_mocap, n_y_mocap> S_I = inv(C);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);

11
src/modules/local_position_estimator/sensors/sonar.cpp

@ -105,12 +105,15 @@ void BlockLocalPositionEstimator::sonarCorrect() @@ -105,12 +105,15 @@ void BlockLocalPositionEstimator::sonarCorrect()
// residual
Vector<float, n_y_sonar> r = y - C * _x;
// residual covariance
Matrix<float, n_y_sonar, n_y_sonar> S = C * _P * C.transpose()) + R;
// publish innovations
_pub_innov.get().hagl_innov = r(0);
_pub_innov.get().hagl_innov_var = R(0, 0);
_pub_innov.get().hagl_innov_var = S(0, 0);
// residual covariance, (inverse)
Matrix<float, n_y_sonar, n_y_sonar> S_I =
inv<float, n_y_sonar>(C * _P * C.transpose() + R);
Matrix<float, n_y_sonar, n_y_sonar> S_I = inv(C);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);
@ -149,5 +152,3 @@ void BlockLocalPositionEstimator::sonarCheckTimeout() @@ -149,5 +152,3 @@ void BlockLocalPositionEstimator::sonarCheckTimeout()
}
}
}

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