PreintegrationBase.cpp

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/* ----------------------------------------------------------------------------
 
 * GTSAM Copyright 2010, Georgia Tech Research Corporation,
 * Atlanta, Georgia 30332-0415
 * All Rights Reserved
 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
 
 * See LICENSE for the license information
 
 * -------------------------------------------------------------------------- */
 
#include "PreintegrationBase.h"
#include <gtsam/base/numericalDerivative.h>
 
using namespace std;
 
namespace gtsam {
 
//------------------------------------------------------------------------------
PreintegrationBase::PreintegrationBase(const std::shared_ptr<Params>& p,
                                       const Bias& biasHat)
    : p_(p), biasHat_(biasHat), deltaTij_(0.0) {
}
 
//------------------------------------------------------------------------------
ostream& operator<<(ostream& os, const PreintegrationBase& pim) {
  os << "    deltaTij = " << pim.deltaTij_ << endl;
  os << "    deltaRij.ypr = (" << pim.deltaRij().ypr().transpose() << ")" << endl;
  os << "    deltaPij = " << pim.deltaPij().transpose() << endl;
  os << "    deltaVij = " << pim.deltaVij().transpose() << endl;
  os << "    gyrobias = " << pim.biasHat_.gyroscope().transpose() << endl;
  os << "    acc_bias = " << pim.biasHat_.accelerometer().transpose() << endl;
  return os;
}
 
//------------------------------------------------------------------------------
void PreintegrationBase::print(const string& s) const {
  cout << (s.empty() ? s : s + "\n") << *this << endl;
}
 
//------------------------------------------------------------------------------
void PreintegrationBase::resetIntegrationAndSetBias(const Bias& biasHat) {
        biasHat_ = biasHat;
        resetIntegration();
}
 
//------------------------------------------------------------------------------
pair<Vector3, Vector3> PreintegrationBase::correctMeasurementsBySensorPose(
    const Vector3& unbiasedAcc, const Vector3& unbiasedOmega,
    OptionalJacobian<3, 3> correctedAcc_H_unbiasedAcc,
    OptionalJacobian<3, 3> correctedAcc_H_unbiasedOmega,
    OptionalJacobian<3, 3> correctedOmega_H_unbiasedOmega) const {
  assert(p().body_P_sensor);
 
  // Compensate for sensor-body displacement if needed: we express the quantities
  // (originally in the IMU frame) into the body frame
  // Equations below assume the "body" frame is the CG
 
  // Get sensor to body rotation matrix
  const Matrix3 bRs = p().body_P_sensor->rotation().matrix();
 
  // Convert angular velocity and acceleration from sensor to body frame
  Vector3 correctedAcc = bRs * unbiasedAcc;
  const Vector3 correctedOmega = bRs * unbiasedOmega;
 
  // Jacobians
  if (correctedAcc_H_unbiasedAcc) *correctedAcc_H_unbiasedAcc = bRs;
  if (correctedAcc_H_unbiasedOmega) *correctedAcc_H_unbiasedOmega = Z_3x3;
  if (correctedOmega_H_unbiasedOmega) *correctedOmega_H_unbiasedOmega = bRs;
 
  // Centrifugal acceleration
  const Vector3 b_arm = p().body_P_sensor->translation();
  if (!b_arm.isZero()) {
    // Subtract out the the centripetal acceleration from the unbiased one
    // to get linear acceleration vector in the body frame:
    const Matrix3 body_Omega_body = skewSymmetric(correctedOmega);
    const Vector3 b_velocity_bs = body_Omega_body * b_arm; // magnitude: omega * arm
    correctedAcc -= body_Omega_body * b_velocity_bs;
 
    // Update derivative: centrifugal causes the correlation between acc and omega!!!
    if (correctedAcc_H_unbiasedOmega) {
      double wdp = correctedOmega.dot(b_arm);
      const Matrix3 diag_wdp = Vector3::Constant(wdp).asDiagonal();
      *correctedAcc_H_unbiasedOmega = -( diag_wdp
          + correctedOmega * b_arm.transpose()) * bRs.matrix()
          + 2 * b_arm * unbiasedOmega.transpose();
    }
  }
 
  return make_pair(correctedAcc, correctedOmega);
}
 
//------------------------------------------------------------------------------
void PreintegrationBase::integrateMeasurement(const Vector3& measuredAcc,
    const Vector3& measuredOmega, double dt) {
  // NOTE(frank): integrateMeasurement always needs to compute the derivatives,
  // even when not of interest to the caller. Provide scratch space here.
  Matrix9 A;
  Matrix93 B, C;
  update(measuredAcc, measuredOmega, dt, &A, &B, &C);
}
 
//------------------------------------------------------------------------------
NavState PreintegrationBase::predict(const NavState& state_i,
    const imuBias::ConstantBias& bias_i, OptionalJacobian<9, 9> H1,
    OptionalJacobian<9, 6> H2) const {
  Matrix96 D_biasCorrected_bias;
  Vector9 biasCorrected = biasCorrectedDelta(bias_i,
                                             H2 ? &D_biasCorrected_bias : nullptr);
 
  // Correct for initial velocity and gravity
  Matrix9 D_delta_state, D_delta_biasCorrected;
  Vector9 xi = state_i.correctPIM(biasCorrected, deltaTij_, p().n_gravity,
                                  p().omegaCoriolis, p().use2ndOrderCoriolis, H1 ? &D_delta_state : nullptr,
                                  H2 ? &D_delta_biasCorrected : nullptr);
 
  // Use retract to get back to NavState manifold
  Matrix9 D_predict_state, D_predict_delta;
  NavState state_j = state_i.retract(xi,
                                     H1 ? &D_predict_state : nullptr,
                                     H1 || H2 ? &D_predict_delta : nullptr);
  if (H1)
    *H1 = D_predict_state + D_predict_delta * D_delta_state;
  if (H2)
    *H2 = D_predict_delta * D_delta_biasCorrected * D_biasCorrected_bias;
  return state_j;
}
 
//------------------------------------------------------------------------------
Vector9 PreintegrationBase::computeError(const NavState& state_i,
                                         const NavState& state_j,
                                         const imuBias::ConstantBias& bias_i,
                                         OptionalJacobian<9, 9> H1,
                                         OptionalJacobian<9, 9> H2,
                                         OptionalJacobian<9, 6> H3) const {
  // Predict state at time j
  Matrix9 D_predict_state_i;
  Matrix96 D_predict_bias_i;
  NavState predictedState_j = predict(
      state_i, bias_i, H1 ? &D_predict_state_i : 0, H3 ? &D_predict_bias_i : 0);
 
  // Calculate error
  Matrix9 D_error_state_j, D_error_predict;
  Vector9 error =
      state_j.localCoordinates(predictedState_j, H2 ? &D_error_state_j : 0,
                               H1 || H3 ? &D_error_predict : 0);
 
  if (H1) *H1 << D_error_predict * D_predict_state_i;
  if (H2) *H2 << D_error_state_j;
  if (H3) *H3 << D_error_predict * D_predict_bias_i;
 
  return error;
}
 
//------------------------------------------------------------------------------
Vector9 PreintegrationBase::computeErrorAndJacobians(const Pose3& pose_i,
    const Vector3& vel_i, const Pose3& pose_j, const Vector3& vel_j,
    const imuBias::ConstantBias& bias_i, OptionalJacobian<9, 6> H1,
    OptionalJacobian<9, 3> H2, OptionalJacobian<9, 6> H3,
    OptionalJacobian<9, 3> H4, OptionalJacobian<9, 6> H5) const {
 
  // Note that derivative of constructors below is not identity for velocity, but
  // a 9*3 matrix == Z_3x3, Z_3x3, state.R().transpose()
  NavState state_i(pose_i, vel_i);
  NavState state_j(pose_j, vel_j);
 
  // Predict state at time j
  Matrix9 D_error_state_i, D_error_state_j;
  Vector9 error = computeError(state_i, state_j, bias_i,
                         H1 || H2 ? &D_error_state_i : 0, H3 || H4 ? &D_error_state_j : 0, H5);
 
  // Separate out derivatives in terms of 5 arguments
  // Note that doing so requires special treatment of velocities, as when treated as
  // separate variables the retract applied will not be the semi-direct product in NavState
  // Instead, the velocities in nav are updated using a straight addition
  // This is difference is accounted for by the R().transpose calls below
  if (H1) *H1 << D_error_state_i.leftCols<6>();
  if (H2) *H2 << D_error_state_i.rightCols<3>() * state_i.R().transpose();
  if (H3) *H3 << D_error_state_j.leftCols<6>();
  if (H4) *H4 << D_error_state_j.rightCols<3>() * state_j.R().transpose();
 
  return error;
}
 
//------------------------------------------------------------------------------
 
}  // namespace gtsam