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ekf2: access state covariance using helper functions
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@ -541,15 +541,10 @@ void Ekf::resetQuatCov(const float yaw_noise)
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void Ekf::resetQuatCov(const Vector3f &rot_var_ned)
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{
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// clear existing quaternion covariance
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// Optimization: avoid the creation of a <4> function
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P.uncorrelateCovarianceSetVariance<2>(State::quat_nominal.idx, 0.0f);
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P.uncorrelateCovarianceSetVariance<2>(State::quat_nominal.idx + 2, 0.0f);
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matrix::SquareMatrix<float, State::quat_nominal.dof> q_cov;
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sym::RotVarNedToLowerTriangularQuatCov(getStateAtFusionHorizonAsVector(), rot_var_ned, &q_cov);
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q_cov.copyLowerToUpperTriangle();
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P.slice<State::quat_nominal.dof, State::quat_nominal.dof>(State::quat_nominal.idx, State::quat_nominal.idx) = q_cov;
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resetStateCovariance<State::quat_nominal>(q_cov);
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}
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void Ekf::resetMagCov()
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@ -565,8 +560,8 @@ void Ekf::resetMagCov()
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saveMagCovData();
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#else
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P.uncorrelateCovarianceSetVariance<3>(16, 0.f);
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P.uncorrelateCovarianceSetVariance<3>(19, 0.f);
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P.uncorrelateCovarianceSetVariance<State::mag_I.dof>(State::mag_I.idx, 0.f);
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P.uncorrelateCovarianceSetVariance<State::mag_B.dof>(State::mag_B.idx, 0.f);
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#endif
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}
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@ -308,9 +308,13 @@ public:
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// get the wind velocity in m/s
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const Vector2f &getWindVelocity() const { return _state.wind_vel; };
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Vector2f getWindVelocityVariance() const { return getStateVariance<State::wind_vel>(); }
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// get the wind velocity var
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Vector2f getWindVelocityVariance() const { return P.slice<State::wind_vel.dof, State::wind_vel.dof>(State::wind_vel.idx, State::wind_vel.idx).diag(); }
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template <const IdxDof &S>
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matrix::Vector<float, S.dof>getStateVariance() const { return P.slice<S.dof, S.dof>(S.idx, S.idx).diag(); } // calling getStateCovariance().diag() uses more flash space
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template <const IdxDof &S>
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matrix::SquareMatrix<float, S.dof>getStateCovariance() const { return P.slice<S.dof, S.dof>(S.idx, S.idx); }
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// get the full covariance matrix
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const matrix::SquareMatrix<float, State::size> &covariances() const { return P; }
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@ -318,14 +322,10 @@ public:
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// get the diagonal elements of the covariance matrix
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matrix::Vector<float, State::size> covariances_diagonal() const { return P.diag(); }
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// get the orientation (quaterion) covariances
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matrix::SquareMatrix<float, 4> orientation_covariances() const { return P.slice<State::quat_nominal.dof, State::quat_nominal.dof>(State::quat_nominal.idx, State::quat_nominal.idx); }
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matrix::Vector<float, State::quat_nominal.dof> getQuaternionVariance() const { return getStateVariance<State::quat_nominal>(); }
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Vector3f getVelocityVariance() const { return getStateVariance<State::vel>(); };
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Vector3f getPositionVariance() const { return getStateVariance<State::pos>(); }
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// get the linear velocity covariances
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matrix::SquareMatrix<float, 3> velocity_covariances() const { return P.slice<State::vel.dof, State::vel.dof>(State::vel.idx, State::vel.idx); }
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// get the position covariances
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matrix::SquareMatrix<float, 3> position_covariances() const { return P.slice<State::pos.dof, State::pos.dof>(State::pos.idx, State::pos.idx); }
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// ask estimator for sensor data collection decision and do any preprocessing if required, returns true if not defined
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bool collect_gps(const gpsMessage &gps) override;
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@ -356,10 +356,6 @@ public:
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void resetGyroBias();
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void resetAccelBias();
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Vector3f getVelocityVariance() const { return velocity_covariances().diag(); };
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Vector3f getPositionVariance() const { return position_covariances().diag(); }
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// First argument returns GPS drift metrics in the following array locations
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// 0 : Horizontal position drift rate (m/s)
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// 1 : Vertical position drift rate (m/s)
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@ -408,23 +404,22 @@ public:
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// gyro bias
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const Vector3f &getGyroBias() const { return _state.gyro_bias; } // get the gyroscope bias in rad/s
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Vector3f getGyroBiasVariance() const { return P.slice<State::gyro_bias.dof, State::gyro_bias.dof>(State::gyro_bias.idx, State::gyro_bias.idx).diag(); } // get the gyroscope bias variance in rad/s
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Vector3f getGyroBiasVariance() const { return getStateVariance<State::gyro_bias>(); } // get the gyroscope bias variance in rad/s
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float getGyroBiasLimit() const { return _params.gyro_bias_lim; }
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// accel bias
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const Vector3f &getAccelBias() const { return _state.accel_bias; } // get the accelerometer bias in m/s**2
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Vector3f getAccelBiasVariance() const { return P.slice<State::accel_bias.dof, State::accel_bias.dof>(State::accel_bias.idx, State::accel_bias.idx).diag(); } // get the accelerometer bias variance in m/s**2
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Vector3f getAccelBiasVariance() const { return getStateVariance<State::accel_bias>(); } // get the accelerometer bias variance in m/s**2
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float getAccelBiasLimit() const { return _params.acc_bias_lim; }
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#if defined(CONFIG_EKF2_MAGNETOMETER)
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const Vector3f &getMagEarthField() const { return _state.mag_I; }
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// mag bias (states 19, 20, 21)
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const Vector3f &getMagBias() const { return _state.mag_B; }
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Vector3f getMagBiasVariance() const
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{
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if (_control_status.flags.mag) {
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return P.slice<State::mag_B.dof, State::mag_B.dof>(State::mag_B.idx, State::mag_B.idx).diag();
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return getStateVariance<State::mag_B>();
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}
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return _saved_mag_bf_covmat.diag();
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@ -805,6 +800,12 @@ private:
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// predict ekf covariance
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void predictCovariance(const imuSample &imu_delayed);
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template <const IdxDof &S>
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void resetStateCovariance(const matrix::SquareMatrix<float, S.dof> &cov) {
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P.uncorrelateCovarianceSetVariance<S.dof>(S.idx, 0.0f);
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P.slice<S.dof, S.dof>(S.idx, S.idx) = cov;
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}
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// update quaternion states and covariances using an innovation, observation variance and Jacobian vector
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bool fuseYaw(estimator_aid_source1d_s &aid_src_status);
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bool fuseYaw(estimator_aid_source1d_s &aid_src_status, const VectorState &H_YAW);
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@ -625,7 +625,7 @@ void Ekf::resetGyroBias()
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P.uncorrelateCovarianceSetVariance<State::gyro_bias.dof>(State::gyro_bias.idx, sq(_params.switch_on_gyro_bias));
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// Set previous frame values
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_prev_gyro_bias_var = P.slice<State::gyro_bias.dof, State::gyro_bias.dof>(State::gyro_bias.idx, State::gyro_bias.idx).diag();
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_prev_gyro_bias_var = getStateVariance<State::gyro_bias>();
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}
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void Ekf::resetAccelBias()
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@ -638,7 +638,7 @@ void Ekf::resetAccelBias()
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P.uncorrelateCovarianceSetVariance<State::accel_bias.dof>(State::accel_bias.idx, sq(_params.switch_on_accel_bias));
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// Set previous frame values
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_prev_accel_bias_var = P.slice<State::accel_bias.dof, State::accel_bias.dof>(State::accel_bias.idx, State::accel_bias.idx).diag();
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_prev_accel_bias_var = getStateVariance<State::accel_bias>();
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}
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// get EKF innovation consistency check status information comprising of:
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@ -164,7 +164,7 @@ void Ekf::controlEvPosFusion(const extVisionSample &ev_sample, const bool common
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if (measurement_valid && quality_sufficient) {
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_ev_pos_b_est.setMaxStateNoise(Vector2f(sqrtf(measurement_var(0)), sqrtf(measurement_var(1))));
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_ev_pos_b_est.setProcessNoiseSpectralDensity(_params.ev_hgt_bias_nsd); // TODO
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_ev_pos_b_est.fuseBias(measurement - Vector2f(_state.pos.xy()), measurement_var + P.slice<2, 2>(State::pos.idx, State::pos.idx).diag());
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_ev_pos_b_est.fuseBias(measurement - Vector2f(_state.pos.xy()), measurement_var + Vector2f(getStateVariance<State::pos>()));
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}
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if (!measurement_valid) {
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@ -167,8 +167,8 @@ void Ekf::controlMag3DFusion(const magSample &mag_sample, const bool common_star
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|| wmm_updated
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|| !_mag_decl_cov_reset
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|| !_state.mag_I.longerThan(0.f)
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|| (P.slice<3, 3>(16, 16).diag().min() < sq(0.0001f)) // mag_I
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|| (P.slice<3, 3>(19, 19).diag().min() < sq(0.0001f)) // mag_B
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|| (getStateVariance<State::mag_I>().min() < sq(0.0001f))
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|| (getStateVariance<State::mag_B>().min() < sq(0.0001f))
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) {
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ECL_INFO("starting %s fusion, resetting states", AID_SRC_NAME);
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@ -220,19 +220,17 @@ void Ekf::stopMagFusion()
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void Ekf::saveMagCovData()
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{
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// save the NED axis covariance sub-matrix
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_saved_mag_ef_covmat = P.slice<State::mag_I.dof, State::mag_I.dof>(State::mag_I.idx, State::mag_I.idx);
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_saved_mag_ef_covmat = getStateCovariance<State::mag_I>();
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// save the XYZ body covariance sub-matrix
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_saved_mag_bf_covmat = P.slice<State::mag_B.dof, State::mag_B.dof>(State::mag_B.idx, State::mag_B.idx);
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_saved_mag_bf_covmat = getStateCovariance<State::mag_B>();
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}
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void Ekf::loadMagCovData()
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{
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// re-instate the NED axis covariance sub-matrix
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P.uncorrelateCovarianceSetVariance<State::mag_I.dof>(State::mag_I.idx, 0.f);
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P.slice<State::mag_I.dof, State::mag_I.dof>(State::mag_I.idx, State::mag_I.idx) = _saved_mag_ef_covmat;
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resetStateCovariance<State::mag_I>(_saved_mag_ef_covmat);
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// re-instate the XYZ body axis covariance sub-matrix
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P.uncorrelateCovarianceSetVariance<State::mag_B.dof>(State::mag_B.idx, 0.f);
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P.slice<State::mag_B.dof, State::mag_B.dof>(State::mag_B.idx, State::mag_B.idx) = _saved_mag_bf_covmat;
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resetStateCovariance<State::mag_B>(_saved_mag_bf_covmat);
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}
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@ -55,7 +55,7 @@ void Ekf::controlZeroVelocityUpdate()
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// Set a low variance initially for faster leveling and higher
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// later to let the states follow the measurements
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const float obs_var = _control_status.flags.tilt_align ? sq(0.2f) : sq(0.001f);
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Vector3f innov_var = P.slice<3, 3>(State::vel.idx, State::vel.idx).diag() + obs_var;
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Vector3f innov_var = getVelocityVariance() + obs_var;
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for (unsigned i = 0; i < 3; i++) {
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fuseVelPosHeight(innovation(i), innov_var(i), State::vel.idx + i);
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@ -1665,10 +1665,10 @@ void EKF2::PublishOdometry(const hrt_abstime ×tamp, const imuSample &imu_sa
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angular_velocity.copyTo(odom.angular_velocity);
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// velocity covariances
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_ekf.velocity_covariances().diag().copyTo(odom.velocity_variance);
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_ekf.getVelocityVariance().copyTo(odom.velocity_variance);
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// position covariances
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_ekf.position_covariances().diag().copyTo(odom.position_variance);
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_ekf.getPositionVariance().copyTo(odom.position_variance);
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// orientation covariance
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_ekf.calcRotVecVariances().copyTo(odom.orientation_variance);
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@ -280,11 +280,6 @@ float EkfWrapper::getYawAngle() const
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return euler(2);
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}
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matrix::Vector4f EkfWrapper::getQuaternionVariance() const
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{
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return matrix::Vector4f(_ekf->orientation_covariances().diag());
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}
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int EkfWrapper::getQuaternionResetCounter() const
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{
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float tmp[4];
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@ -118,7 +118,6 @@ public:
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Eulerf getEulerAngles() const;
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float getYawAngle() const;
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matrix::Vector4f getQuaternionVariance() const;
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int getQuaternionResetCounter() const;
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void enableDragFusion();
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@ -333,9 +333,9 @@ TEST_F(EkfGpsHeadingTest, stopOnGround)
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_ekf_wrapper.setMagFuseTypeNone();
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// WHEN: running without yaw aiding
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const matrix::Vector4f quat_variance_before = _ekf_wrapper.getQuaternionVariance();
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const matrix::Vector4f quat_variance_before = _ekf->getQuaternionVariance();
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_sensor_simulator.runSeconds(20.0);
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const matrix::Vector4f quat_variance_after = _ekf_wrapper.getQuaternionVariance();
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const matrix::Vector4f quat_variance_after = _ekf->getQuaternionVariance();
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// THEN: the yaw variance increases
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EXPECT_GT(quat_variance_after(3), quat_variance_before(3));
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@ -78,7 +78,7 @@ public:
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void quaternionVarianceBigEnoughAfterOrientationInitialization(float quat_variance_limit = 0.00001f)
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{
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const matrix::Vector4f quat_variance = _ekf_wrapper.getQuaternionVariance();
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const matrix::Vector4f quat_variance = _ekf->getQuaternionVariance();
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EXPECT_TRUE(quat_variance(1) > quat_variance_limit) << "quat_variance(1): " << quat_variance(1);
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EXPECT_TRUE(quat_variance(2) > quat_variance_limit) << "quat_variance(2): " << quat_variance(2);
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EXPECT_TRUE(quat_variance(3) > quat_variance_limit) << "quat_variance(3): " << quat_variance(3);
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