Moved AHRSFactor methods to cpp
dellaert
parent
bde567fd82
commit
e9df6198ff
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@ -151,4 +151,155 @@ Vector AHRSFactor::PreintegratedMeasurements::PreIntegrateIMUObservations_delta_
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return Rot3::Logmap(R_t_to_t0);
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}
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//------------------------------------------------------------------------------
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// AHRSFactor methods
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//------------------------------------------------------------------------------
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AHRSFactor::AHRSFactor() :
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preintegratedMeasurements_(imuBias::ConstantBias(), Matrix3::Zero()) {
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}
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AHRSFactor::AHRSFactor(Key rot_i, Key rot_j, Key bias,
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const PreintegratedMeasurements& preintegratedMeasurements,
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const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor) :
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Base(
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noiseModel::Gaussian::Covariance(
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preintegratedMeasurements.preintMeasCov_), rot_i, rot_j, bias), preintegratedMeasurements_(
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preintegratedMeasurements), omegaCoriolis_(omegaCoriolis), body_P_sensor_(
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body_P_sensor) {
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}
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/// @return a deep copy of this factor
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gtsam::NonlinearFactor::shared_ptr AHRSFactor::clone() const {
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return boost::static_pointer_cast<gtsam::NonlinearFactor>(
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gtsam::NonlinearFactor::shared_ptr(new This(*this)));
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}
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//------------------------------------------------------------------------------
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void AHRSFactor::print(const std::string& s,
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const KeyFormatter& keyFormatter) const {
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std::cout << s << "AHRSFactor(" << keyFormatter(this->key1()) << ","
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<< keyFormatter(this->key2()) << "," << keyFormatter(this->key3()) << ",";
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preintegratedMeasurements_.print(" preintegrated measurements:");
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std::cout << " omegaCoriolis: [ " << omegaCoriolis_.transpose() << " ]"
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<< std::endl;
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this->noiseModel_->print(" noise model: ");
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if (this->body_P_sensor_)
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this->body_P_sensor_->print(" sensor pose in body frame: ");
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}
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//------------------------------------------------------------------------------
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bool AHRSFactor::equals(const NonlinearFactor& other, double tol) const {
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const This *e = dynamic_cast<const This*>(&other);
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return e != NULL && Base::equals(*e, tol)
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&& preintegratedMeasurements_.equals(e->preintegratedMeasurements_, tol)
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&& equal_with_abs_tol(omegaCoriolis_, e->omegaCoriolis_, tol)
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&& ((!body_P_sensor_ && !e->body_P_sensor_)
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|| (body_P_sensor_ && e->body_P_sensor_
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&& body_P_sensor_->equals(*e->body_P_sensor_)));
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}
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//------------------------------------------------------------------------------
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Vector AHRSFactor::evaluateError(const Rot3& rot_i, const Rot3& rot_j,
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const imuBias::ConstantBias& bias, boost::optional<Matrix&> H1,
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boost::optional<Matrix&> H2, boost::optional<Matrix&> H3) const {
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double deltaTij = preintegratedMeasurements_.deltaTij_;
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Vector3 biasOmegaIncr = bias.gyroscope()
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- preintegratedMeasurements_.biasHat_.gyroscope();
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// We compute factor's Jacobians
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/* ---------------------------------------------------------------------------------------------------- */
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Rot3 deltaRij_biascorrected = preintegratedMeasurements_.deltaRij_.retract(
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preintegratedMeasurements_.delRdelBiasOmega_ * biasOmegaIncr,
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Rot3::EXPMAP);
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Vector3 theta_biascorrected = Rot3::Logmap(deltaRij_biascorrected);
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Vector3 theta_biascorrected_corioliscorrected = theta_biascorrected
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- rot_i.inverse().matrix() * omegaCoriolis_ * deltaTij; // Coriolis term
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Rot3 deltaRij_biascorrected_corioliscorrected = Rot3::Expmap(
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theta_biascorrected_corioliscorrected);
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Rot3 fRhat = deltaRij_biascorrected_corioliscorrected.between(
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rot_i.between(rot_j));
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Matrix3 Jr_theta_bcc = Rot3::rightJacobianExpMapSO3(
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theta_biascorrected_corioliscorrected);
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Matrix3 Jtheta = -Jr_theta_bcc
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* skewSymmetric(rot_i.inverse().matrix() * omegaCoriolis_ * deltaTij);
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Matrix3 Jrinv_fRhat = Rot3::rightJacobianExpMapSO3inverse(
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Rot3::Logmap(fRhat));
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if (H1) {
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H1->resize(3, 3);
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(*H1) << // dfR/dRi
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Jrinv_fRhat
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* (-rot_j.between(rot_i).matrix()
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- fRhat.inverse().matrix() * Jtheta);
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}
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if (H2) {
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H2->resize(3, 3);
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(*H2) <<
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// dfR/dPosej
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Jrinv_fRhat * (Matrix3::Identity());
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}
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if (H3) {
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Matrix3 Jrinv_theta_bc = Rot3::rightJacobianExpMapSO3inverse(
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theta_biascorrected);
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Matrix3 Jr_JbiasOmegaIncr = Rot3::rightJacobianExpMapSO3(
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preintegratedMeasurements_.delRdelBiasOmega_ * biasOmegaIncr);
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Matrix3 JbiasOmega = Jr_theta_bcc * Jrinv_theta_bc * Jr_JbiasOmegaIncr
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* preintegratedMeasurements_.delRdelBiasOmega_;
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H3->resize(3, 6);
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(*H3) <<
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// dfR/dBias
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Matrix::Zero(3, 3), Jrinv_fRhat
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* (-fRhat.inverse().matrix() * JbiasOmega);
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}
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Vector3 fR = Rot3::Logmap(fRhat);
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Vector r(3);
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r << fR;
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return r;
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}
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//------------------------------------------------------------------------------
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Rot3 AHRSFactor::predict(const Rot3& rot_i, const imuBias::ConstantBias& bias,
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const PreintegratedMeasurements preintegratedMeasurements,
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const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor) {
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const double& deltaTij = preintegratedMeasurements.deltaTij_;
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// const Vector3 biasAccIncr = bias.accelerometer()
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-preintegratedMeasurements.biasHat_.accelerometer();
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const Vector3 biasOmegaIncr = bias.gyroscope()
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- preintegratedMeasurements.biasHat_.gyroscope();
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const Rot3 Rot_i = rot_i;
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// Predict state at time j
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/* ---------------------------------------------------------------------------------------------------- */
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const Rot3 deltaRij_biascorrected =
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preintegratedMeasurements.deltaRij_.retract(
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preintegratedMeasurements.delRdelBiasOmega_ * biasOmegaIncr,
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Rot3::EXPMAP);
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// deltaRij_biascorrected is expmap(deltaRij) * expmap(delRdelBiasOmega * biasOmegaIncr)
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Vector3 theta_biascorrected = Rot3::Logmap(deltaRij_biascorrected);
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Vector3 theta_biascorrected_corioliscorrected = theta_biascorrected
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- Rot_i.inverse().matrix() * omegaCoriolis * deltaTij; // Coriolis term
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const Rot3 deltaRij_biascorrected_corioliscorrected = Rot3::Expmap(
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theta_biascorrected_corioliscorrected);
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// const Rot3 Rot_j =
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return (Rot_i.compose(deltaRij_biascorrected_corioliscorrected));
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}
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} //namespace gtsam
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@ -39,8 +39,8 @@ public:
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friend class AHRSFactor;
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protected:
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imuBias::ConstantBias biasHat_;///< Acceleration and angular rate bias values used during preintegration. Note that we won't be using the accelerometer
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Matrix3 measurementCovariance_;///< (Raw measurements uncertainty) Covariance of the vector [measuredOmega] in R^(3X3)
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imuBias::ConstantBias biasHat_; ///< Acceleration and angular rate bias values used during preintegration. Note that we won't be using the accelerometer
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Matrix3 measurementCovariance_; ///< (Raw measurements uncertainty) Covariance of the vector [measuredOmega] in R^(3X3)
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Rot3 deltaRij_; ///< Preintegrated relative orientation (in frame i)
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double deltaTij_; ///< Time interval from i to j
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@ -66,12 +66,24 @@ public:
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/// equals
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bool equals(const PreintegratedMeasurements&, double tol = 1e-9) const;
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const Matrix3& measurementCovariance() const {return measurementCovariance_;}
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Matrix3 deltaRij() const {return deltaRij_.matrix();}
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double deltaTij() const {return deltaTij_;}
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Vector6 biasHat() const {return biasHat_.vector();}
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const Matrix3& delRdelBiasOmega() const {return delRdelBiasOmega_;}
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const Matrix3& preintMeasCov() const {return preintMeasCov_;}
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const Matrix3& measurementCovariance() const {
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return measurementCovariance_;
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}
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Matrix3 deltaRij() const {
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return deltaRij_.matrix();
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}
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double deltaTij() const {
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return deltaTij_;
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}
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Vector6 biasHat() const {
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return biasHat_.vector();
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}
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const Matrix3& delRdelBiasOmega() const {
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return delRdelBiasOmega_;
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}
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const Matrix3& preintMeasCov() const {
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return preintMeasCov_;
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}
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/// TODO: Document
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void resetIntegration();
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@ -112,7 +124,7 @@ private:
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PreintegratedMeasurements preintegratedMeasurements_;
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Vector3 gravity_;
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Vector3 omegaCoriolis_; ///< Controls whether higher order terms are included when calculating the Coriolis Effect
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boost::optional<Pose3> body_P_sensor_;///< The pose of the sensor in the body frame
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boost::optional<Pose3> body_P_sensor_; ///< The pose of the sensor in the body frame
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public:
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@ -124,184 +136,57 @@ public:
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#endif
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/** Default constructor - only use for serialization */
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AHRSFactor() :
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preintegratedMeasurements_(imuBias::ConstantBias(), Matrix3::Zero()) {}
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AHRSFactor();
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AHRSFactor(
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Key rot_i, ///< previous rot key
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Key rot_j, ///< current rot key
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Key bias,///< previous bias key
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const PreintegratedMeasurements& preintegratedMeasurements, ///< preintegrated measurements
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const Vector3& omegaCoriolis, ///< rotation rate of the inertial frame
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boost::optional<const Pose3&> body_P_sensor = boost::none ///< The Pose of the sensor frame in the body frame
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) :
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Base(
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noiseModel::Gaussian::Covariance(
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preintegratedMeasurements.preintMeasCov_), rot_i, rot_j, bias), preintegratedMeasurements_(
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preintegratedMeasurements), omegaCoriolis_(omegaCoriolis), body_P_sensor_(
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body_P_sensor) {
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/**
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* Constructor
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* @param rot_i previous rot key
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* @param rot_j current rot key
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* @param bias previous bias key
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* @param preintegratedMeasurements preintegrated measurements
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* @param omegaCoriolis rotation rate of the inertial frame
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* @param body_P_sensor Optional pose of the sensor frame in the body frame
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*/
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AHRSFactor(Key rot_i, Key rot_j, Key bias,
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const PreintegratedMeasurements& preintegratedMeasurements,
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const Vector3& omegaCoriolis,
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boost::optional<const Pose3&> body_P_sensor = boost::none);
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virtual ~AHRSFactor() {
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}
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virtual ~AHRSFactor() {}
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/// @return a deep copy of this factor
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virtual gtsam::NonlinearFactor::shared_ptr clone() const {
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return boost::static_pointer_cast<gtsam::NonlinearFactor>(
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gtsam::NonlinearFactor::shared_ptr(
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new This(*this)
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)
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);
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}
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virtual gtsam::NonlinearFactor::shared_ptr clone() const;
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/** implement functions needed for Testable */
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/** print */
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/// print
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virtual void print(const std::string& s, const KeyFormatter& keyFormatter =
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DefaultKeyFormatter) const {
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std::cout << s << "AHRSFactor(" << keyFormatter(this->key1()) << ","
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<< keyFormatter(this->key2()) << "," << keyFormatter(this->key3())
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<< ",";
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preintegratedMeasurements_.print(" preintegrated measurements:");
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std::cout << " omegaCoriolis: [ " << omegaCoriolis_.transpose() << " ]"
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<< std::endl;
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this->noiseModel_->print(" noise model: ");
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if (this->body_P_sensor_)
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this->body_P_sensor_->print(" sensor pose in body frame: ");
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}
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DefaultKeyFormatter) const;
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/** equals */
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virtual bool equals(const NonlinearFactor& expected,
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double tol = 1e-9) const {
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const This *e = dynamic_cast<const This*>(&expected);
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return e != NULL && Base::equals(*e, tol)
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&& preintegratedMeasurements_.equals(e->preintegratedMeasurements_, tol)
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&& equal_with_abs_tol(omegaCoriolis_, e->omegaCoriolis_, tol)
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&& ((!body_P_sensor_ && !e->body_P_sensor_)
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|| (body_P_sensor_ && e->body_P_sensor_
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&& body_P_sensor_->equals(*e->body_P_sensor_)));
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}
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/** Access the preintegrated measurements. */
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/// equals
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virtual bool equals(const NonlinearFactor&, double tol = 1e-9) const;
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/// Access the preintegrated measurements.
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const PreintegratedMeasurements& preintegratedMeasurements() const {
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return preintegratedMeasurements_;
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}
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const Vector3& omegaCoriolis() const {
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return omegaCoriolis_;
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}
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/** implement functions needed to derive from Factor */
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/** vector of errors */
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/// vector of errors
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Vector evaluateError(const Rot3& rot_i, const Rot3& rot_j,
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const imuBias::ConstantBias& bias,
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boost::optional<Matrix&> H1 = boost::none,
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boost::optional<Matrix&> H2 = boost::none,
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boost::optional<Matrix&> H3 = boost::none) const
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{
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const imuBias::ConstantBias& bias, boost::optional<Matrix&> H1 =
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boost::none, boost::optional<Matrix&> H2 = boost::none,
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boost::optional<Matrix&> H3 = boost::none) const;
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double deltaTij = preintegratedMeasurements_.deltaTij_;
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Vector3 biasOmegaIncr = bias.gyroscope()
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- preintegratedMeasurements_.biasHat_.gyroscope();
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// We compute factor's Jacobians
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/* ---------------------------------------------------------------------------------------------------- */
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Rot3 deltaRij_biascorrected =
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preintegratedMeasurements_.deltaRij_.retract(
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preintegratedMeasurements_.delRdelBiasOmega_ * biasOmegaIncr,
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Rot3::EXPMAP);
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Vector3 theta_biascorrected = Rot3::Logmap(deltaRij_biascorrected);
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Vector3 theta_biascorrected_corioliscorrected = theta_biascorrected
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- rot_i.inverse().matrix() * omegaCoriolis_ * deltaTij; // Coriolis term
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Rot3 deltaRij_biascorrected_corioliscorrected = Rot3::Expmap(
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theta_biascorrected_corioliscorrected);
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Rot3 fRhat = deltaRij_biascorrected_corioliscorrected.between(
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rot_i.between(rot_j));
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Matrix3 Jr_theta_bcc = Rot3::rightJacobianExpMapSO3(
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theta_biascorrected_corioliscorrected);
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Matrix3 Jtheta = -Jr_theta_bcc
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* skewSymmetric(rot_i.inverse().matrix() * omegaCoriolis_ * deltaTij);
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Matrix3 Jrinv_fRhat = Rot3::rightJacobianExpMapSO3inverse(
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Rot3::Logmap(fRhat));
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if (H1) {
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H1->resize(3, 3);
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(*H1) << // dfR/dRi
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Jrinv_fRhat
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* (-rot_j.between(rot_i).matrix()
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- fRhat.inverse().matrix() * Jtheta);
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}
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if(H2) {
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H2->resize(3,3);
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(*H2) <<
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// dfR/dPosej
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Jrinv_fRhat * ( Matrix3::Identity() );
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}
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if (H3) {
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Matrix3 Jrinv_theta_bc = Rot3::rightJacobianExpMapSO3inverse(
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theta_biascorrected);
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Matrix3 Jr_JbiasOmegaIncr = Rot3::rightJacobianExpMapSO3(
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preintegratedMeasurements_.delRdelBiasOmega_ * biasOmegaIncr);
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Matrix3 JbiasOmega = Jr_theta_bcc * Jrinv_theta_bc
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* Jr_JbiasOmegaIncr * preintegratedMeasurements_.delRdelBiasOmega_;
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H3->resize(3, 6);
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(*H3) <<
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// dfR/dBias
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Matrix::Zero(3,3),
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Jrinv_fRhat * (-fRhat.inverse().matrix() * JbiasOmega);
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}
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Vector3 fR = Rot3::Logmap(fRhat);
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Vector r(3);
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r << fR;
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return r;
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}
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/** predicted states from IMU */
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static Rot3 predict(const Rot3& rot_i,
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const imuBias::ConstantBias& bias,
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/// predicted states from IMU
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static Rot3 predict(const Rot3& rot_i, const imuBias::ConstantBias& bias,
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const PreintegratedMeasurements preintegratedMeasurements,
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const Vector3& omegaCoriolis,
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boost::optional<const Pose3&> body_P_sensor = boost::none
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) {
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const double& deltaTij = preintegratedMeasurements.deltaTij_;
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// const Vector3 biasAccIncr = bias.accelerometer()
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- preintegratedMeasurements.biasHat_.accelerometer();
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const Vector3 biasOmegaIncr = bias.gyroscope()
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- preintegratedMeasurements.biasHat_.gyroscope();
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const Rot3 Rot_i = rot_i;
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// Predict state at time j
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/* ---------------------------------------------------------------------------------------------------- */
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const Rot3 deltaRij_biascorrected =
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preintegratedMeasurements.deltaRij_.retract(
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preintegratedMeasurements.delRdelBiasOmega_ * biasOmegaIncr,
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Rot3::EXPMAP);
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// deltaRij_biascorrected is expmap(deltaRij) * expmap(delRdelBiasOmega * biasOmegaIncr)
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Vector3 theta_biascorrected = Rot3::Logmap(deltaRij_biascorrected);
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Vector3 theta_biascorrected_corioliscorrected = theta_biascorrected
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- Rot_i.inverse().matrix() * omegaCoriolis * deltaTij; // Coriolis term
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const Rot3 deltaRij_biascorrected_corioliscorrected = Rot3::Expmap(
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theta_biascorrected_corioliscorrected);
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// const Rot3 Rot_j =
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return (Rot_i.compose(deltaRij_biascorrected_corioliscorrected));
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}
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boost::optional<const Pose3&> body_P_sensor = boost::none);
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private:
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@ -310,12 +195,16 @@ private:
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template<class ARCHIVE>
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void serialize(ARCHIVE & ar, const unsigned int version) {
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ar
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& boost::serialization::make_nvp("NoiseModelFactor3",
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boost::serialization::base_object<Base>(*this));
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& boost::serialization::make_nvp("NoiseModelFactor3",
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boost::serialization::base_object<Base>(*this));
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ar & BOOST_SERIALIZATION_NVP(preintegratedMeasurements_);
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ar & BOOST_SERIALIZATION_NVP(omegaCoriolis_);
|
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ar & BOOST_SERIALIZATION_NVP(body_P_sensor_);
|
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}
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}; // AHRSFactor
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};
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// AHRSFactor
|
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|
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typedef AHRSFactor::PreintegratedMeasurements AHRSFactorPreintegratedMeasurements;
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|
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} //namespace gtsam
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|
|
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Reference in New Issue