Add ifdefs that restore the old IMU factor functionality
parent
aea1f1e572
commit
fa15264e83
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@ -70,7 +70,13 @@ void PreintegratedCombinedMeasurements::integrateMeasurement(
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// Update preintegrated measurements.
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Matrix9 A; // overall Jacobian wrt preintegrated measurements (df/dx)
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Matrix93 B, C;
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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PreintegrationBase::integrateMeasurement(measuredAcc, measuredOmega, dt, &A, &B, &C);
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#else
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Matrix3 D_incrR_integratedOmega; // Right jacobian computed at theta_incr
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PreintegrationBase::update(measuredAcc, measuredOmega, dt,
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&D_incrR_integratedOmega, &A, &B, &C);
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#endif
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// Update preintegrated measurements covariance: as in [2] we consider a first
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// order propagation that can be seen as a prediction phase in an EKF
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@ -79,7 +85,7 @@ void PreintegratedCombinedMeasurements::integrateMeasurement(
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// and preintegrated measurements
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// Single Jacobians to propagate covariance
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// TODO(frank): should we not also accout for bias on position?
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// TODO(frank): should we not also account for bias on position?
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Matrix3 theta_H_biasOmega = - C.topRows<3>();
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Matrix3 vel_H_biasAcc = -B.bottomRows<3>();
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@ -55,7 +55,13 @@ void PreintegratedImuMeasurements::integrateMeasurement(
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// Update preintegrated measurements (also get Jacobian)
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Matrix9 A; // overall Jacobian wrt preintegrated measurements (df/dx)
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Matrix93 B, C;
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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PreintegrationBase::integrateMeasurement(measuredAcc, measuredOmega, dt, &A, &B, &C);
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#else
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Matrix3 D_incrR_integratedOmega;
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PreintegrationBase::update(measuredAcc, measuredOmega, dt,
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&D_incrR_integratedOmega, &A, &B, &C);
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#endif
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// first order covariance propagation:
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// as in [2] we consider a first order propagation that can be seen as a
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@ -91,13 +97,14 @@ void PreintegratedImuMeasurements::integrateMeasurements(const Matrix& measuredA
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}
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//------------------------------------------------------------------------------
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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void PreintegratedImuMeasurements::mergeWith(const PreintegratedImuMeasurements& pim12, //
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Matrix9* H1, Matrix9* H2) {
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PreintegrationBase::mergeWith(pim12, H1, H2);
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preintMeasCov_ =
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*H1 * preintMeasCov_ * H1->transpose() + *H2 * pim12.preintMeasCov_ * H2->transpose();
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}
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#endif
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//------------------------------------------------------------------------------
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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PreintegratedImuMeasurements::PreintegratedImuMeasurements(
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@ -174,6 +181,7 @@ Vector ImuFactor::evaluateError(const Pose3& pose_i, const Vector3& vel_i,
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}
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//------------------------------------------------------------------------------
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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PreintegratedImuMeasurements ImuFactor::Merge(
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const PreintegratedImuMeasurements& pim01,
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const PreintegratedImuMeasurements& pim12) {
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@ -216,6 +224,7 @@ ImuFactor::shared_ptr ImuFactor::Merge(const shared_ptr& f01,
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f01->key5(), // B
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pim02);
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}
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#endif
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//------------------------------------------------------------------------------
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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@ -124,8 +124,10 @@ public:
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/// Return pre-integrated measurement covariance
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Matrix preintMeasCov() const { return preintMeasCov_; }
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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/// Merge in a different set of measurements and update bias derivatives accordingly
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void mergeWith(const PreintegratedImuMeasurements& pim, Matrix9* H1, Matrix9* H2);
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#endif
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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/// @deprecated constructor
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@ -230,6 +232,7 @@ public:
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boost::optional<Matrix&> H3 = boost::none, boost::optional<Matrix&> H4 =
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boost::none, boost::optional<Matrix&> H5 = boost::none) const;
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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/// Merge two pre-integrated measurement classes
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static PreintegratedImuMeasurements Merge(
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const PreintegratedImuMeasurements& pim01,
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@ -237,6 +240,7 @@ public:
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/// Merge two factors
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static shared_ptr Merge(const shared_ptr& f01, const shared_ptr& f12);
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#endif
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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/// @deprecated typename
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@ -239,7 +239,7 @@ Matrix7 NavState::wedge(const Vector9& xi) {
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#define D_v_v(H) (H)->block<3,3>(6,6)
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//------------------------------------------------------------------------------
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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#if defined(GTSAM_ALLOW_DEPRECATED_SINCE_V4) || !defined(GTSAM_IMU_MANIFOLD_INTEGRATION)
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NavState NavState::update(const Vector3& b_acceleration, const Vector3& b_omega,
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const double dt, OptionalJacobian<9, 9> F, OptionalJacobian<9, 3> G1,
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OptionalJacobian<9, 3> G2) const {
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@ -203,7 +203,7 @@ public:
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/// @name Dynamics
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/// @{
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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#if defined(GTSAM_ALLOW_DEPRECATED_SINCE_V4) || !defined(GTSAM_IMU_MANIFOLD_INTEGRATION)
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/// Integrate forward in time given angular velocity and acceleration in body frame
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/// Uses second order integration for position, returns derivatives except dt.
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NavState update(const Vector3& b_acceleration, const Vector3& b_omega,
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@ -37,15 +37,28 @@ PreintegrationBase::PreintegrationBase(const boost::shared_ptr<Params>& p,
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//------------------------------------------------------------------------------
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void PreintegrationBase::resetIntegration() {
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deltaTij_ = 0.0;
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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preintegrated_.setZero();
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preintegrated_H_biasAcc_.setZero();
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preintegrated_H_biasOmega_.setZero();
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#else
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deltaXij_ = NavState();
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delRdelBiasOmega_.setZero();
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delPdelBiasAcc_.setZero();
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delPdelBiasOmega_.setZero();
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delVdelBiasAcc_.setZero();
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delVdelBiasOmega_.setZero();
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#endif
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}
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//------------------------------------------------------------------------------
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ostream& operator<<(ostream& os, const PreintegrationBase& pim) {
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os << " deltaTij " << pim.deltaTij_ << endl;
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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os << " deltaRij " << Point3(pim.theta()) << endl;
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#else
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os << " deltaRij.ypr = (" << pim.deltaRij().ypr().transpose() << ")" << endl;
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#endif
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os << " deltaPij " << Point3(pim.deltaPij()) << endl;
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os << " deltaVij " << Point3(pim.deltaVij()) << endl;
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os << " gyrobias " << Point3(pim.biasHat_.gyroscope()) << endl;
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@ -64,9 +77,18 @@ bool PreintegrationBase::equals(const PreintegrationBase& other,
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return p_->equals(*other.p_, tol)
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&& fabs(deltaTij_ - other.deltaTij_) < tol
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&& biasHat_.equals(other.biasHat_, tol)
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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&& equal_with_abs_tol(preintegrated_, other.preintegrated_, tol)
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&& equal_with_abs_tol(preintegrated_H_biasAcc_, other.preintegrated_H_biasAcc_, tol)
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&& equal_with_abs_tol(preintegrated_H_biasOmega_, other.preintegrated_H_biasOmega_, tol);
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#else
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&& deltaXij_.equals(other.deltaXij_, tol)
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&& equal_with_abs_tol(delRdelBiasOmega_, other.delRdelBiasOmega_, tol)
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&& equal_with_abs_tol(delPdelBiasAcc_, other.delPdelBiasAcc_, tol)
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&& equal_with_abs_tol(delPdelBiasOmega_, other.delPdelBiasOmega_, tol)
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&& equal_with_abs_tol(delVdelBiasAcc_, other.delVdelBiasAcc_, tol)
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&& equal_with_abs_tol(delVdelBiasOmega_, other.delVdelBiasOmega_, tol);
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#endif
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}
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//------------------------------------------------------------------------------
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@ -105,7 +127,8 @@ pair<Vector3, Vector3> PreintegrationBase::correctMeasurementsBySensorPose(
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// Update derivative: centrifugal causes the correlation between acc and omega!!!
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if (correctedAcc_H_unbiasedOmega) {
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double wdp = correctedOmega.dot(b_arm);
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*correctedAcc_H_unbiasedOmega = -( (Matrix) Vector3::Constant(wdp).asDiagonal()
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const Matrix3 diag_wdp = Vector3::Constant(wdp).asDiagonal();
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*correctedAcc_H_unbiasedOmega = -( diag_wdp
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+ correctedOmega * b_arm.transpose()) * bRs.matrix()
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+ 2 * b_arm * unbiasedOmega.transpose();
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}
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@ -114,6 +137,7 @@ pair<Vector3, Vector3> PreintegrationBase::correctMeasurementsBySensorPose(
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return make_pair(correctedAcc, correctedOmega);
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}
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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//------------------------------------------------------------------------------
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// See extensive discussion in ImuFactor.lyx
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Vector9 PreintegrationBase::UpdatePreintegrated(
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@ -224,29 +248,150 @@ Vector9 PreintegrationBase::biasCorrectedDelta(
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}
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return biasCorrected;
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}
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#else
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//------------------------------------------------------------------------------
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pair<Vector3, Vector3> PreintegrationBase::correctMeasurementsByBiasAndSensorPose(
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const Vector3& measuredAcc, const Vector3& measuredOmega,
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OptionalJacobian<3, 3> D_correctedAcc_measuredAcc,
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OptionalJacobian<3, 3> D_correctedAcc_measuredOmega,
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OptionalJacobian<3, 3> D_correctedOmega_measuredOmega) const {
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// Correct for bias in the sensor frame
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Vector3 unbiasedAcc = biasHat_.correctAccelerometer(measuredAcc);
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Vector3 unbiasedOmega = biasHat_.correctGyroscope(measuredOmega);
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return correctMeasurementsBySensorPose(unbiasedAcc, unbiasedOmega,
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D_correctedAcc_measuredAcc, D_correctedAcc_measuredOmega,
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D_correctedOmega_measuredOmega);
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}
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//------------------------------------------------------------------------------
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NavState PreintegrationBase::updatedDeltaXij(const Vector3& measuredAcc,
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const Vector3& measuredOmega, const double dt,
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OptionalJacobian<9, 9> D_updated_current,
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OptionalJacobian<9, 3> D_updated_measuredAcc,
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OptionalJacobian<9, 3> D_updated_measuredOmega) const {
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Vector3 correctedAcc, correctedOmega;
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Matrix3 D_correctedAcc_measuredAcc, //
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D_correctedAcc_measuredOmega, //
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D_correctedOmega_measuredOmega;
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bool needDerivs = D_updated_measuredAcc && D_updated_measuredOmega && p().body_P_sensor;
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boost::tie(correctedAcc, correctedOmega) =
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correctMeasurementsByBiasAndSensorPose(measuredAcc, measuredOmega,
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(needDerivs ? &D_correctedAcc_measuredAcc : 0),
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(needDerivs ? &D_correctedAcc_measuredOmega : 0),
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(needDerivs ? &D_correctedOmega_measuredOmega : 0));
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// Do update in one fell swoop
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Matrix93 D_updated_correctedAcc, D_updated_correctedOmega;
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NavState updated = deltaXij_.update(correctedAcc, correctedOmega, dt, D_updated_current,
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(needDerivs ? D_updated_correctedAcc : D_updated_measuredAcc),
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(needDerivs ? D_updated_correctedOmega : D_updated_measuredOmega));
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if (needDerivs) {
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*D_updated_measuredAcc = D_updated_correctedAcc * D_correctedAcc_measuredAcc;
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*D_updated_measuredOmega = D_updated_correctedOmega * D_correctedOmega_measuredOmega;
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if (!p().body_P_sensor->translation().vector().isZero()) {
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*D_updated_measuredOmega += D_updated_correctedAcc * D_correctedAcc_measuredOmega;
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}
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}
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return updated;
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}
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//------------------------------------------------------------------------------
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void PreintegrationBase::update(const Vector3& measuredAcc,
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const Vector3& measuredOmega, const double dt,
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Matrix3* D_incrR_integratedOmega, Matrix9* D_updated_current,
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Matrix93* D_updated_measuredAcc, Matrix93* D_updated_measuredOmega) {
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// Save current rotation for updating Jacobians
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const Rot3 oldRij = deltaXij_.attitude();
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// Do update
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deltaTij_ += dt;
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deltaXij_ = updatedDeltaXij(measuredAcc, measuredOmega, dt,
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D_updated_current, D_updated_measuredAcc, D_updated_measuredOmega); // functional
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// Update Jacobians
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// TODO(frank): we are repeating some computation here: accessible in F ?
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Vector3 correctedAcc, correctedOmega;
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boost::tie(correctedAcc, correctedOmega) =
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correctMeasurementsByBiasAndSensorPose(measuredAcc, measuredOmega);
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Matrix3 D_acc_R;
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oldRij.rotate(correctedAcc, D_acc_R);
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const Matrix3 D_acc_biasOmega = D_acc_R * delRdelBiasOmega_;
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const Vector3 integratedOmega = correctedOmega * dt;
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const Rot3 incrR = Rot3::Expmap(integratedOmega, D_incrR_integratedOmega); // expensive !!
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const Matrix3 incrRt = incrR.transpose();
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delRdelBiasOmega_ = incrRt * delRdelBiasOmega_
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- *D_incrR_integratedOmega * dt;
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double dt22 = 0.5 * dt * dt;
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const Matrix3 dRij = oldRij.matrix(); // expensive
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delPdelBiasAcc_ += delVdelBiasAcc_ * dt - dt22 * dRij;
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delPdelBiasOmega_ += dt * delVdelBiasOmega_ + dt22 * D_acc_biasOmega;
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delVdelBiasAcc_ += -dRij * dt;
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delVdelBiasOmega_ += D_acc_biasOmega * dt;
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}
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//------------------------------------------------------------------------------
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Vector9 PreintegrationBase::biasCorrectedDelta(
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const imuBias::ConstantBias& bias_i, OptionalJacobian<9, 6> H) const {
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// Correct deltaRij, derivative is delRdelBiasOmega_
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const imuBias::ConstantBias biasIncr = bias_i - biasHat_;
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Matrix3 D_correctedRij_bias;
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const Vector3 biasInducedOmega = delRdelBiasOmega_ * biasIncr.gyroscope();
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const Rot3 correctedRij = deltaRij().expmap(biasInducedOmega, boost::none,
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H ? &D_correctedRij_bias : 0);
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if (H)
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D_correctedRij_bias *= delRdelBiasOmega_;
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Vector9 xi;
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Matrix3 D_dR_correctedRij;
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// TODO(frank): could line below be simplified? It is equivalent to
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// LogMap(deltaRij_.compose(Expmap(biasInducedOmega)))
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NavState::dR(xi) = Rot3::Logmap(correctedRij, H ? &D_dR_correctedRij : 0);
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NavState::dP(xi) = deltaPij() + delPdelBiasAcc_ * biasIncr.accelerometer()
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+ delPdelBiasOmega_ * biasIncr.gyroscope();
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NavState::dV(xi) = deltaVij() + delVdelBiasAcc_ * biasIncr.accelerometer()
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+ delVdelBiasOmega_ * biasIncr.gyroscope();
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if (H) {
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Matrix36 D_dR_bias, D_dP_bias, D_dV_bias;
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D_dR_bias << Z_3x3, D_dR_correctedRij * D_correctedRij_bias;
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D_dP_bias << delPdelBiasAcc_, delPdelBiasOmega_;
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D_dV_bias << delVdelBiasAcc_, delVdelBiasOmega_;
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(*H) << D_dR_bias, D_dP_bias, D_dV_bias;
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}
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return xi;
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}
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#endif
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//------------------------------------------------------------------------------
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NavState PreintegrationBase::predict(const NavState& state_i,
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const imuBias::ConstantBias& bias_i,
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OptionalJacobian<9, 9> H1,
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OptionalJacobian<9, 6> H2) const {
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const imuBias::ConstantBias& bias_i, OptionalJacobian<9, 9> H1,
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OptionalJacobian<9, 6> H2) const {
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// TODO(frank): make sure this stuff is still correct
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Matrix96 D_biasCorrected_bias;
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Vector9 biasCorrected =
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biasCorrectedDelta(bias_i, H2 ? &D_biasCorrected_bias : 0);
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Vector9 biasCorrected = biasCorrectedDelta(bias_i,
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H2 ? &D_biasCorrected_bias : 0);
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// Correct for initial velocity and gravity
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Matrix9 D_delta_state, D_delta_biasCorrected;
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Vector9 xi = state_i.correctPIM(biasCorrected, deltaTij_, p().n_gravity,
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p().omegaCoriolis, p().use2ndOrderCoriolis,
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H1 ? &D_delta_state : 0,
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H2 ? &D_delta_biasCorrected : 0);
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p().omegaCoriolis, p().use2ndOrderCoriolis, H1 ? &D_delta_state : 0,
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H2 ? &D_delta_biasCorrected : 0);
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// Use retract to get back to NavState manifold
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Matrix9 D_predict_state, D_predict_delta;
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NavState state_j = state_i.retract(xi, D_predict_state, D_predict_delta);
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if (H1) *H1 = D_predict_state + D_predict_delta* D_delta_state;
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if (H2) *H2 = D_predict_delta* D_delta_biasCorrected* D_biasCorrected_bias;
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if (H1)
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*H1 = D_predict_state + D_predict_delta * D_delta_state;
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if (H2)
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*H2 = D_predict_delta * D_delta_biasCorrected * D_biasCorrected_bias;
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return state_j;
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}
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@ -306,6 +451,7 @@ Vector9 PreintegrationBase::computeErrorAndJacobians(const Pose3& pose_i,
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return error;
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}
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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//------------------------------------------------------------------------------
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// sugar for derivative blocks
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#define D_R_R(H) (H)->block<3,3>(0,0)
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@ -393,6 +539,7 @@ void PreintegrationBase::mergeWith(const PreintegrationBase& pim12, Matrix9* H1,
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preintegrated_H_biasOmega_ = (*H1) * preintegrated_H_biasOmega_ +
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(*H2) * pim12.preintegrated_H_biasOmega_;
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}
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#endif
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//------------------------------------------------------------------------------
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#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
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@ -408,6 +555,7 @@ PoseVelocityBias PreintegrationBase::predict(const Pose3& pose_i,
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p_ = q;
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return PoseVelocityBias(predict(NavState(pose_i, vel_i), bias_i), bias_i);
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}
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#endif
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//------------------------------------------------------------------------------
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@ -81,10 +81,18 @@ class PreintegrationBase {
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* Note: relative position does not take into account velocity at time i, see deltap+, in [2]
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* Note: velocity is now also in frame i, as opposed to deltaVij in [2]
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*/
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#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
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Vector9 preintegrated_;
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Matrix93 preintegrated_H_biasAcc_; ///< Jacobian of preintegrated preintegrated w.r.t. acceleration bias
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Matrix93 preintegrated_H_biasOmega_; ///< Jacobian of preintegrated preintegrated w.r.t. angular rate bias
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#else
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NavState deltaXij_;
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Matrix3 delRdelBiasOmega_; ///< Jacobian of preintegrated rotation w.r.t. angular rate bias
|
||||
Matrix3 delPdelBiasAcc_; ///< Jacobian of preintegrated position w.r.t. acceleration bias
|
||||
Matrix3 delPdelBiasOmega_; ///< Jacobian of preintegrated position w.r.t. angular rate bias
|
||||
Matrix3 delVdelBiasAcc_; ///< Jacobian of preintegrated velocity w.r.t. acceleration bias
|
||||
Matrix3 delVdelBiasOmega_; ///< Jacobian of preintegrated velocity w.r.t. angular rate bias
|
||||
#endif
|
||||
|
||||
/// Default constructor for serialization
|
||||
PreintegrationBase() {
|
||||
|
@ -140,17 +148,22 @@ public:
|
|||
const imuBias::ConstantBias& biasHat() const { return biasHat_; }
|
||||
double deltaTij() const { return deltaTij_; }
|
||||
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
const Vector9& preintegrated() const { return preintegrated_; }
|
||||
|
||||
Vector3 theta() const { return preintegrated_.head<3>(); }
|
||||
Vector3 deltaPij() const { return preintegrated_.segment<3>(3); }
|
||||
Vector3 deltaVij() const { return preintegrated_.tail<3>(); }
|
||||
|
||||
Rot3 deltaRij() const { return Rot3::Expmap(theta()); }
|
||||
Vector3 theta() const { return preintegrated_.head<3>(); }
|
||||
Vector3 deltaPij() const { return preintegrated_.segment<3>(3); }
|
||||
Vector3 deltaVij() const { return preintegrated_.tail<3>(); }
|
||||
Rot3 deltaRij() const { return Rot3::Expmap(theta()); }
|
||||
NavState deltaXij() const { return NavState::Retract(preintegrated_); }
|
||||
|
||||
const Matrix93& preintegrated_H_biasAcc() const { return preintegrated_H_biasAcc_; }
|
||||
const Matrix93& preintegrated_H_biasOmega() const { return preintegrated_H_biasOmega_; }
|
||||
#else
|
||||
const NavState& deltaXij() const { return deltaXij_; }
|
||||
const Rot3& deltaRij() const { return deltaXij_.attitude(); }
|
||||
Vector3 deltaPij() const { return deltaXij_.position().vector(); }
|
||||
Vector3 deltaVij() const { return deltaXij_.velocity(); }
|
||||
#endif
|
||||
|
||||
// Exposed for MATLAB
|
||||
Vector6 biasHatVector() const { return biasHat_.vector(); }
|
||||
|
@ -175,6 +188,8 @@ public:
|
|||
OptionalJacobian<3, 3> correctedAcc_H_unbiasedOmega = boost::none,
|
||||
OptionalJacobian<3, 3> correctedOmega_H_unbiasedOmega = boost::none) const;
|
||||
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
|
||||
// Update integrated vector on tangent manifold preintegrated with acceleration
|
||||
// Static, functional version.
|
||||
static Vector9 UpdatePreintegrated(const Vector3& a_body,
|
||||
|
@ -200,6 +215,38 @@ public:
|
|||
Vector9 biasCorrectedDelta(const imuBias::ConstantBias& bias_i,
|
||||
OptionalJacobian<9, 6> H = boost::none) const;
|
||||
|
||||
#else
|
||||
|
||||
/// Subtract estimate and correct for sensor pose
|
||||
/// Compute the derivatives due to non-identity body_P_sensor (rotation and centrifugal acc)
|
||||
/// Ignore D_correctedOmega_measuredAcc as it is trivially zero
|
||||
std::pair<Vector3, Vector3> correctMeasurementsByBiasAndSensorPose(
|
||||
const Vector3& j_measuredAcc, const Vector3& j_measuredOmega,
|
||||
OptionalJacobian<3, 3> D_correctedAcc_measuredAcc = boost::none,
|
||||
OptionalJacobian<3, 3> D_correctedAcc_measuredOmega = boost::none,
|
||||
OptionalJacobian<3, 3> D_correctedOmega_measuredOmega = boost::none) const;
|
||||
|
||||
/// Calculate the updated preintegrated measurement, does not modify
|
||||
/// It takes measured quantities in the j frame
|
||||
NavState updatedDeltaXij(const Vector3& j_measuredAcc,
|
||||
const Vector3& j_measuredOmega, const double dt,
|
||||
OptionalJacobian<9, 9> D_updated_current = boost::none,
|
||||
OptionalJacobian<9, 3> D_updated_measuredAcc = boost::none,
|
||||
OptionalJacobian<9, 3> D_updated_measuredOmega = boost::none) const;
|
||||
|
||||
/// Update preintegrated measurements and get derivatives
|
||||
/// It takes measured quantities in the j frame
|
||||
void update(const Vector3& j_measuredAcc, const Vector3& j_measuredOmega,
|
||||
const double deltaT, Matrix3* D_incrR_integratedOmega, Matrix9* D_updated_current,
|
||||
Matrix93* D_udpated_measuredAcc, Matrix93* D_updated_measuredOmega);
|
||||
|
||||
/// Given the estimate of the bias, return a NavState tangent vector
|
||||
/// summarizing the preintegrated IMU measurements so far
|
||||
Vector9 biasCorrectedDelta(const imuBias::ConstantBias& bias_i,
|
||||
OptionalJacobian<9, 6> H = boost::none) const;
|
||||
|
||||
#endif
|
||||
|
||||
/// Predict state at time j
|
||||
NavState predict(const NavState& state_i, const imuBias::ConstantBias& bias_i,
|
||||
OptionalJacobian<9, 9> H1 = boost::none,
|
||||
|
@ -219,6 +266,7 @@ public:
|
|||
OptionalJacobian<9, 6> H3 = boost::none, OptionalJacobian<9, 3> H4 =
|
||||
boost::none, OptionalJacobian<9, 6> H5 = boost::none) const;
|
||||
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
// Compose the two pre-integrated 9D-vectors zeta01 and zeta02, with derivatives
|
||||
static Vector9 Compose(const Vector9& zeta01, const Vector9& zeta12,
|
||||
double deltaT12,
|
||||
|
@ -229,13 +277,13 @@ public:
|
|||
/// The derivatives apply to the preintegrated Vector9
|
||||
void mergeWith(const PreintegrationBase& pim, Matrix9* H1, Matrix9* H2);
|
||||
/// @}
|
||||
#endif
|
||||
|
||||
/** Dummy clone for MATLAB */
|
||||
virtual boost::shared_ptr<PreintegrationBase> clone() const {
|
||||
return boost::shared_ptr<PreintegrationBase>();
|
||||
}
|
||||
|
||||
|
||||
#ifdef GTSAM_ALLOW_DEPRECATED_SINCE_V4
|
||||
/// @name Deprecated
|
||||
/// @{
|
||||
|
@ -257,11 +305,22 @@ private:
|
|||
void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
|
||||
namespace bs = ::boost::serialization;
|
||||
ar & BOOST_SERIALIZATION_NVP(p_);
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
ar & BOOST_SERIALIZATION_NVP(biasHat_);
|
||||
ar & BOOST_SERIALIZATION_NVP(deltaTij_);
|
||||
ar & bs::make_nvp("preintegrated_", bs::make_array(preintegrated_.data(), preintegrated_.size()));
|
||||
ar & bs::make_nvp("preintegrated_H_biasAcc_", bs::make_array(preintegrated_H_biasAcc_.data(), preintegrated_H_biasAcc_.size()));
|
||||
ar & bs::make_nvp("preintegrated_H_biasOmega_", bs::make_array(preintegrated_H_biasOmega_.data(), preintegrated_H_biasOmega_.size()));
|
||||
#else
|
||||
ar & BOOST_SERIALIZATION_NVP(deltaTij_);
|
||||
ar & BOOST_SERIALIZATION_NVP(deltaXij_);
|
||||
ar & BOOST_SERIALIZATION_NVP(biasHat_);
|
||||
ar & bs::make_nvp("delRdelBiasOmega_", bs::make_array(delRdelBiasOmega_.data(), delRdelBiasOmega_.size()));
|
||||
ar & bs::make_nvp("delPdelBiasAcc_", bs::make_array(delPdelBiasAcc_.data(), delPdelBiasAcc_.size()));
|
||||
ar & bs::make_nvp("delPdelBiasOmega_", bs::make_array(delPdelBiasOmega_.data(), delPdelBiasOmega_.size()));
|
||||
ar & bs::make_nvp("delVdelBiasAcc_", bs::make_array(delVdelBiasAcc_.data(), delVdelBiasAcc_.size()));
|
||||
ar & bs::make_nvp("delVdelBiasOmega_", bs::make_array(delVdelBiasOmega_.data(), delVdelBiasOmega_.size()));
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
|
|
|
@ -132,6 +132,7 @@ TEST( CombinedImuFactor, ErrorWithBiases ) {
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
TEST(CombinedImuFactor, FirstOrderPreIntegratedMeasurements) {
|
||||
auto p = testing::Params();
|
||||
testing::SomeMeasurements measurements;
|
||||
|
@ -151,6 +152,7 @@ TEST(CombinedImuFactor, FirstOrderPreIntegratedMeasurements) {
|
|||
EXPECT(assert_equal(numericalDerivative22<Vector9, Vector3, Vector3>(preintegrated, Z_3x1, Z_3x1),
|
||||
pim.preintegrated_H_biasOmega(), 1e-3));
|
||||
}
|
||||
#endif
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST(CombinedImuFactor, PredictPositionAndVelocity) {
|
||||
|
|
|
@ -94,13 +94,13 @@ TEST(ImuFactor, PreintegratedMeasurements) {
|
|||
|
||||
// Actual pre-integrated values
|
||||
PreintegratedImuMeasurements actual(testing::Params());
|
||||
EXPECT(assert_equal(kZero, actual.theta()));
|
||||
EXPECT(assert_equal(Rot3(), actual.deltaRij()));
|
||||
EXPECT(assert_equal(kZero, actual.deltaPij()));
|
||||
EXPECT(assert_equal(kZero, actual.deltaVij()));
|
||||
DOUBLES_EQUAL(0.0, actual.deltaTij(), 1e-9);
|
||||
|
||||
actual.integrateMeasurement(measuredAcc, measuredOmega, deltaT);
|
||||
EXPECT(assert_equal(expectedDeltaR1, actual.theta()));
|
||||
EXPECT(assert_equal(Rot3::Expmap(expectedDeltaR1), actual.deltaRij()));
|
||||
EXPECT(assert_equal(expectedDeltaP1, actual.deltaPij()));
|
||||
EXPECT(assert_equal(expectedDeltaV1, actual.deltaVij()));
|
||||
DOUBLES_EQUAL(0.5, actual.deltaTij(), 1e-9);
|
||||
|
@ -129,7 +129,7 @@ TEST(ImuFactor, PreintegratedMeasurements) {
|
|||
|
||||
// Actual pre-integrated values
|
||||
actual.integrateMeasurement(measuredAcc, measuredOmega, deltaT);
|
||||
EXPECT(assert_equal(expectedDeltaR2, actual.theta()));
|
||||
EXPECT(assert_equal(Rot3::Expmap(expectedDeltaR2), actual.deltaRij()));
|
||||
EXPECT(assert_equal(expectedDeltaP2, actual.deltaPij()));
|
||||
EXPECT(assert_equal(expectedDeltaV2, actual.deltaVij()));
|
||||
DOUBLES_EQUAL(1.0, actual.deltaTij(), 1e-9);
|
||||
|
@ -439,6 +439,7 @@ TEST(ImuFactor, fistOrderExponential) {
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
TEST(ImuFactor, FirstOrderPreIntegratedMeasurements) {
|
||||
testing::SomeMeasurements measurements;
|
||||
|
||||
|
@ -458,7 +459,7 @@ TEST(ImuFactor, FirstOrderPreIntegratedMeasurements) {
|
|||
EXPECT(assert_equal(numericalDerivative22(preintegrated, kZero, kZero),
|
||||
pim.preintegrated_H_biasOmega(), 1e-3));
|
||||
}
|
||||
|
||||
#endif
|
||||
/* ************************************************************************* */
|
||||
Vector3 correctedAcc(const PreintegratedImuMeasurements& pim,
|
||||
const Vector3& measuredAcc, const Vector3& measuredOmega) {
|
||||
|
@ -789,6 +790,7 @@ TEST(ImuFactor, bodyPSensorWithBias) {
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
static const double kVelocity = 2.0, kAngularVelocity = M_PI / 6;
|
||||
|
||||
struct ImuFactorMergeTest {
|
||||
|
@ -883,6 +885,7 @@ TEST(ImuFactor, MergeWithCoriolis) {
|
|||
mergeTest.p_->omegaCoriolis = Vector3(0.1, 0.2, -0.1);
|
||||
mergeTest.TestScenarios(result_, name_, kZeroBias, kZeroBias, 1e-4);
|
||||
}
|
||||
#endif
|
||||
|
||||
/* ************************************************************************* */
|
||||
// Same values as pre-integration test but now testing covariance
|
||||
|
|
|
@ -28,6 +28,7 @@
|
|||
|
||||
static const double kDt = 0.1;
|
||||
|
||||
#ifdef GTSAM_IMU_MANIFOLD_INTEGRATION
|
||||
Vector9 f(const Vector9& zeta, const Vector3& a, const Vector3& w) {
|
||||
return PreintegrationBase::UpdatePreintegrated(a, w, kDt, zeta);
|
||||
}
|
||||
|
@ -140,6 +141,7 @@ TEST(PreintegrationBase, MergedBiasDerivatives) {
|
|||
EXPECT(assert_equal(numericalDerivative22<Vector9, Vector3, Vector3>(f, Z_3x1, Z_3x1),
|
||||
expected_pim02.preintegrated_H_biasOmega(), 1e-7));
|
||||
}
|
||||
#endif
|
||||
|
||||
/* ************************************************************************* */
|
||||
int main() {
|
||||
|
|
Loading…
Reference in New Issue