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Resolve "Copying measurement and sqrtinfo in FactorBase (multi-threading)"

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@@ -5,6 +5,7 @@
#include "core/factor/factor_autodiff.h"
#include "laser/feature/feature_polyline_2d.h"
#include "laser/landmark/landmark_polyline_2d.h"
#include "core/math/covariance.h"
namespace wolf {
@@ -19,9 +20,6 @@ class FactorPoint2d: public FactorAutodiff<FactorPoint2d, 2,2,1,2,1,2>
unsigned int feature_point_id_;
int landmark_point_id_;
StateBlockPtr point_state_ptr_;
Eigen::VectorXd measurement_; ///< the measurement vector
Eigen::MatrixXd measurement_covariance_; ///< the measurement covariance matrix
Eigen::MatrixXd measurement_sqrt_information_; ///< the squared root information matrix
public:
@@ -44,19 +42,32 @@ class FactorPoint2d: public FactorAutodiff<FactorPoint2d, 2,2,1,2,1,2>
_lmk_ptr->getPointStateBlock(_lmk_point_id)),
feature_point_id_(_ftr_point_id),
landmark_point_id_(_lmk_point_id),
point_state_ptr_(_lmk_ptr->getPointStateBlock(_lmk_point_id)),
measurement_(_ftr_ptr->getPoints().col(_ftr_point_id)),
measurement_covariance_(_ftr_ptr->getPointsCov().middleCols(_ftr_point_id*2,2))
point_state_ptr_(_lmk_ptr->getPointStateBlock(_lmk_point_id))
{
//std::cout << "Constriant point: feature " << _ftr_ptr->id() << " landmark " << _lmk_ptr->id() << "(point " << _lmk_point_id << ")" << std::endl;
//std::cout << "landmark state block " << _lmk_ptr->getPointStateBlock(_lmk_point_id)->getVector().transpose() << std::endl;
Eigen::LLT<Eigen::MatrixXd> lltOfA(measurement_covariance_); // compute the Cholesky decomposition of A
Eigen::MatrixXd measurement_sqrt_covariance = lltOfA.matrixU();
measurement_sqrt_information_ = measurement_sqrt_covariance.inverse().transpose(); // retrieve factor U in the decomposition
}
virtual ~FactorPoint2d() = default;
virtual void updateMeasurementAndSquareRootInformationUpper() override
{
if (not getFeature())
return;
// cast
auto ftr = std::static_pointer_cast<FeaturePolyline2d>(getFeature());
// measurement
measurement_ = ftr->getPoints().col(feature_point_id_);
// covariance (ensuring symmetry)
Eigen::Matrix2d measurement_covariance = ftr->getPointsCov().middleCols(feature_point_id_*2,2).selfadjointView<Eigen::Upper>();
// square root information upper matrix
measurement_sqrt_information_upper_ = computeSqrtUpper(measurement_covariance.inverse());
}
virtual std::string getTopology() const override
{
return std::string("LMK");
@@ -103,27 +114,6 @@ class FactorPoint2d: public FactorAutodiff<FactorPoint2d, 2,2,1,2,1,2>
*/
template <typename T>
bool operator ()(const T* const _robotP, const T* const _robotO, const T* const _landmarkOriginP, const T* const _landmarkOriginO, const T* const _landmarkPoint, T* _residuals) const;
/** \brief Returns a reference to the feature measurement
**/
virtual const Eigen::VectorXd& getMeasurement() const override
{
return measurement_;
}
/** \brief Returns a reference to the feature measurement covariance
**/
virtual const Eigen::MatrixXd& getMeasurementCovariance() const override
{
return measurement_covariance_;
}
/** \brief Returns a reference to the feature measurement square root information
**/
virtual const Eigen::MatrixXd& getMeasurementSquareRootInformationUpper() const override
{
return measurement_sqrt_information_;
}
};
template<typename T>
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