11 #ifndef POSESENSORCLASS_H
12 #define POSESENSORCLASS_H
37 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
49 std::cout <<
"Created: [" << this->
name_ <<
"] Sensor" << std::endl;
73 std::shared_ptr<CoreType> latest_core_data)
78 std::string calibration_type;
82 calibration_type =
"Given";
91 calibration_type =
"Auto";
92 std::cout <<
"Pose calibration AUTO init not implemented yet" << std::endl;
97 BufferDataType result(std::make_shared<CoreType>(*latest_core_data.get()),
98 std::make_shared<PoseSensorData>(sensor_state));
102 std::cout <<
"Info: Initialized [" <<
name_ <<
"] with [" << calibration_type <<
"] Calibration at t=" << timestamp
107 std::cout <<
"Info: [" <<
name_ <<
"] Calibration(rounded):" << std::endl;
108 std::cout <<
"\tPosition[m]: [" << sensor_state.
state_.p_ip_.transpose() <<
" ]" << std::endl;
109 std::cout <<
"\tOrientation[deg]: ["
110 << sensor_state.
state_.q_ip_.toRotationMatrix().eulerAngles(0, 1, 2).transpose() * (180 / M_PI) <<
" ]"
118 std::shared_ptr<void> latest_sensor_data,
const Eigen::MatrixXd& prior_cov,
126 Eigen::Vector3d p_meas = meas->
position_;
134 Eigen::MatrixXd R_meas_dyn;
141 R_meas_dyn = this->
R_.asDiagonal();
143 const Eigen::Matrix<double, 6, 6> R_meas = R_meas_dyn;
146 const int size_of_sensor_state = prior_sensor_state.
cov_size_;
147 const int size_of_full_error_state = size_of_core_state + size_of_sensor_state;
148 const Eigen::MatrixXd P = prior_cov;
149 assert(P.size() == size_of_full_error_state * size_of_full_error_state);
152 const Eigen::Matrix3d I_3 = Eigen::Matrix3d::Identity();
153 const Eigen::Vector3d P_wi = prior_core_state.
p_wi_;
154 const Eigen::Matrix3d R_wi = prior_core_state.
q_wi_.toRotationMatrix();
155 const Eigen::Vector3d P_ip = prior_sensor_state.
p_ip_;
156 const Eigen::Matrix3d R_ip = prior_sensor_state.
q_ip_.toRotationMatrix();
159 const Eigen::Matrix3d Hp_pwi = I_3;
160 const Eigen::Matrix3d Hp_vwi = Eigen::Matrix3d::Zero();
161 const Eigen::Matrix3d Hp_rwi = -R_wi *
Utils::Skew(P_ip);
162 const Eigen::Matrix3d Hp_bw = Eigen::Matrix3d::Zero();
163 const Eigen::Matrix3d Hp_ba = Eigen::Matrix3d::Zero();
164 const Eigen::Matrix3d Hp_ip = R_wi;
165 const Eigen::Matrix3d Hp_rip = Eigen::Matrix3d::Zero();
169 Eigen::MatrixXd H_p(3, Hp_pwi.cols() + Hp_vwi.cols() + Hp_rwi.cols() + Hp_bw.cols() + Hp_ba.cols() + Hp_ip.cols() +
171 H_p << Hp_pwi, Hp_vwi, Hp_rwi, Hp_bw, Hp_ba, Hp_ip, Hp_rip;
174 const Eigen::Matrix3d Hr_pwi = Eigen::Matrix3d::Zero();
175 const Eigen::Matrix3d Hr_vwi = Eigen::Matrix3d::Zero();
176 const Eigen::Matrix3d Hr_rwi = R_ip.transpose();
177 const Eigen::Matrix3d Hr_bw = Eigen::Matrix3d::Zero();
178 const Eigen::Matrix3d Hr_ba = Eigen::Matrix3d::Zero();
179 const Eigen::Matrix3d Hr_pip = Eigen::Matrix3d::Zero();
180 const Eigen::Matrix3d Hr_rip = I_3;
184 Eigen::MatrixXd H_r(3, Hr_pwi.cols() + Hr_vwi.cols() + Hr_rwi.cols() + Hr_bw.cols() + Hr_ba.cols() + Hr_pip.cols() +
186 H_r << Hr_pwi, Hr_vwi, Hr_rwi, Hr_bw, Hr_ba, Hr_pip, Hr_rip;
189 Eigen::MatrixXd H(H_p.rows() + H_r.rows(), H_r.cols());
194 const Eigen::Vector3d p_est = P_wi + R_wi * P_ip;
195 const Eigen::Vector3d res_p = p_meas - p_est;
197 const Eigen::Quaternion<double> q_est = prior_core_state.
q_wi_ * prior_sensor_state.
q_ip_;
198 const Eigen::Quaternion<double> res_q = q_est.inverse() * q_meas;
199 const Eigen::Vector3d res_r = 2 * res_q.vec() / res_q.w();
202 residual_ = Eigen::MatrixXd(res_p.rows() + res_r.rows(), 1);
208 assert(correction.size() == size_of_full_error_state * 1);
218 assert(P_updated.size() == size_of_full_error_state * size_of_full_error_state);
226 const Eigen::MatrixXd sensor_correction = correction.block(size_of_core_state, 0, size_of_sensor_state, 1);
233 core_data.
state_ = corrected_core_state;
236 std::shared_ptr<PoseSensorData> sensor_data(std::make_shared<PoseSensorData>());
237 sensor_data->set_cov(P_updated);
238 sensor_data->state_ = corrected_sensor_state;
240 BufferDataType state_entry(std::make_shared<CoreType>(core_data), sensor_data);
251 *new_state_data = state_entry;
262 corrected_sensor_state.
p_ip_ = prior_sensor_state.
p_ip_ + correction.block(0, 0, 3, 1);
263 corrected_sensor_state.
q_ip_ =
265 return corrected_sensor_state;
bool has_meas_noise
Definition: measurement_base_class.h:23
bool get_meas_noise(Eigen::MatrixXd *meas_noise)
get the measurement noise associated with the current sensor measurement
Definition: measurement_base_class.h:25
int cov_size_
Definition: base_states.h:25
The BaseSensorData class binds the sensor state and covariance matrix.
Definition: bind_sensor_data.h:29
EIGEN_MAKE_ALIGNED_OPERATOR_NEW T state_
Definition: bind_sensor_data.h:30
Eigen::MatrixXd get_full_cov() const
get_full_cov builds the full covariance matrix
Definition: bind_sensor_data.h:63
Eigen::MatrixXd sensor_cov_
covariance of the sensor states
Definition: bind_sensor_data.h:37
The BufferDataType binds the core and sensor state in form of a shared void pointer.
Definition: buffer_data_type.h:36
bool passed_
Determine if the test is performed or not.
Definition: ekf.h:84
bool do_test_
Upper critival value.
Definition: ekf.h:83
void set_dof(const int &value)
set_dof Set degree of freedom for the X2 distribution
void PrintReport(const std::string &name)
PrintReport Print a formated report e.g. if the test did not pass.
Definition: core_state_type.h:21
static constexpr int size_error_
Definition: core_state_type.h:38
Eigen::Vector3d p_wi_
Definition: core_state_type.h:27
Eigen::Quaternion< double > q_wi_
Definition: core_state_type.h:29
static CoreStateType ApplyCorrection(CoreStateType state_prior, Eigen::Matrix< double, CoreStateType::size_error_, 1 > correction)
ApplyCorrection.
Definition: core_state_type.h:46
Definition: core_type.h:19
CoreStateMatrix cov_
Definition: core_type.h:22
CoreStateType state_
Definition: core_type.h:21
Eigen::MatrixXd CalculateCovUpdate()
CalculateCovUpdate Updating the state covariance after the state update.
Eigen::MatrixXd CalculateCorrection()
Kalman gain.
Definition: pose_measurement_type.h:21
Eigen::Quaternion< double > orientation_
Quaternion [w x y z].
Definition: pose_measurement_type.h:26
EIGEN_MAKE_ALIGNED_OPERATOR_NEW Eigen::Vector3d position_
Position [x y z].
Definition: pose_measurement_type.h:25
Definition: pose_sensor_class.h:35
BufferDataType Initialize(const Time ×tamp, std::shared_ptr< void >, std::shared_ptr< CoreType > latest_core_data)
Initialize the state of an individual sensor.
Definition: pose_sensor_class.h:72
bool CalcUpdate(const Time &, std::shared_ptr< void > measurement, const CoreStateType &prior_core_state, std::shared_ptr< void > latest_sensor_data, const Eigen::MatrixXd &prior_cov, BufferDataType *new_state_data)
CalcUpdate Calculates the update for an individual sensor definition.
Definition: pose_sensor_class.h:117
PoseSensorStateType get_state(const std::shared_ptr< void > &sensor_data)
Definition: pose_sensor_class.h:54
PoseSensorStateType ApplyCorrection(const PoseSensorStateType &prior_sensor_state, const Eigen::MatrixXd &correction)
Definition: pose_sensor_class.h:256
Eigen::MatrixXd get_covariance(const std::shared_ptr< void > &sensor_data)
get_covariance Resolves a void pointer to the covariance matrix of the corresponding sensor type Each...
Definition: pose_sensor_class.h:60
void set_initial_calib(std::shared_ptr< void > calibration)
set_initial_calib Sets the calibration of an individual sensor
Definition: pose_sensor_class.h:66
EIGEN_MAKE_ALIGNED_OPERATOR_NEW PoseSensorClass(const std::string &name, std::shared_ptr< CoreState > core_states)
Definition: pose_sensor_class.h:39
virtual ~PoseSensorClass()=default
Definition: pose_sensor_state_type.h:20
Eigen::Quaternion< double > q_ip_
Definition: pose_sensor_state_type.h:25
EIGEN_MAKE_ALIGNED_OPERATOR_NEW Eigen::Vector3d p_ip_
Definition: pose_sensor_state_type.h:24
std::string name_
Name of the individual sensor instance.
Definition: sensor_abs_class.h:23
bool is_initialized_
True if the sensor has been initialized.
Definition: sensor_abs_class.h:24
bool const_ref_to_nav_
True if the reference should not be estimated.
Definition: sensor_abs_class.h:27
bool use_dynamic_meas_noise_
True if dynamic noise values from measurements should be used.
Definition: sensor_abs_class.h:29
Definition: update_sensor_abs_class.h:24
bool initial_calib_provided_
True if an initial calibration was provided.
Definition: update_sensor_abs_class.h:38
std::shared_ptr< CoreState > core_states_
Definition: update_sensor_abs_class.h:42
Eigen::VectorXd R_
Measurement noise "squared".
Definition: update_sensor_abs_class.h:32
std::shared_ptr< void > initial_calib_
Definition: update_sensor_abs_class.h:37
Chi2 chi2_
Definition: update_sensor_abs_class.h:40
Eigen::MatrixXd residual_
Definition: update_sensor_abs_class.h:31
static Eigen::MatrixXd EnforceMatrixSymmetry(const Eigen::Ref< const Eigen::MatrixXd > &mat_in)
EnforceMatrixSymmetry.
static Eigen::Matrix3d Skew(const Eigen::Vector3d &v)
skew generate the skew symmetric matrix of v
static Eigen::Quaterniond ApplySmallAngleQuatCorr(const Eigen::Quaterniond &q_prior, const Eigen::Vector3d &correction)
ApplySmallAngleQuatCorr.
Eigen::Matrix< double, CoreStateType::size_error_, 1 > CoreStateVector
Definition: core_state_type.h:135