gtsam/gtsam_unstable/slam/DummyFactor.cpp

63 lines
1.9 KiB
C++

/**
* @file DummyFactor.cpp
*
* @date Sep 10, 2012
* @author Alex Cunningham
*/
#include <gtsam_unstable/slam/DummyFactor.h>
namespace gtsam {
/* ************************************************************************* */
DummyFactor::DummyFactor(const Key& key1, size_t dim1, const Key& key2, size_t dim2)
: NonlinearFactor(KeyVector{key1, key2})
{
dims_.push_back(dim1);
dims_.push_back(dim2);
if (dim1 > dim2)
rowDim_ = dim1;
else
rowDim_ = dim2;
}
/* ************************************************************************* */
void DummyFactor::print(const std::string& s, const KeyFormatter& keyFormatter) const {
std::cout << s << " DummyFactor dim = " << rowDim_ << ", keys = { ";
for(Key key: this->keys()) { std::cout << keyFormatter(key) << " "; }
std::cout << "}" << std::endl;
}
/* ************************************************************************* */
bool DummyFactor::equals(const NonlinearFactor& f, double tol) const {
const DummyFactor* e = dynamic_cast<const DummyFactor*>(&f);
return e && Base::equals(f, tol) && dims_ == e->dims_ && rowDim_ == e->rowDim_;
}
/* ************************************************************************* */
boost::shared_ptr<GaussianFactor>
DummyFactor::linearize(const Values& c) const {
// Only linearize if the factor is active
if (!this->active(c))
return boost::shared_ptr<JacobianFactor>();
// Fill in terms with zero matrices
std::vector<std::pair<Key, Matrix> > terms(this->size());
for(size_t j=0; j<this->size(); ++j) {
terms[j].first = keys()[j];
terms[j].second = Matrix::Zero(rowDim_, dims_[j]);
}
noiseModel::Diagonal::shared_ptr model = noiseModel::Unit::Create(rowDim_);
return GaussianFactor::shared_ptr(
new JacobianFactor(terms, Vector::Zero(rowDim_), model));
}
/* ************************************************************************* */
} // \namespace gtsam