Create small example with two poses and one landmark. More...
#include <tests/simulated2D.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/nonlinear/NonlinearFactorGraph.h>
#include <gtsam/linear/GaussianBayesNet.h>
#include <gtsam/linear/GaussianFactorGraph.h>
#include <boost/assign/list_of.hpp>
Go to the source code of this file.
Classes | |
struct | gtsam::example::smallOptimize::UnaryFactor |
Namespaces | |
gtsam | |
traits | |
gtsam::example | |
gtsam::example::impl | |
gtsam::example::smallOptimize | |
Typedefs | |
typedef boost::shared_ptr< NonlinearFactor > | gtsam::example::impl::shared_nlf |
Variables | |
static const Key | gtsam::example::impl::_l1_ =0 |
static const Key | gtsam::example::impl::_x1_ =1 |
static const Key | gtsam::example::impl::_x2_ =2 |
static const Key | gtsam::example::impl::_x_ =0 |
static const Key | gtsam::example::impl::_y_ =1 |
static const Key | gtsam::example::impl::_z_ =2 |
static SharedDiagonal | gtsam::example::impl::kConstrainedModel = noiseModel::Constrained::All(2) |
static SharedDiagonal | gtsam::example::impl::kSigma0_1 = noiseModel::Isotropic::Sigma(2,0.1) |
static SharedDiagonal | gtsam::example::impl::kSigma0_2 = noiseModel::Isotropic::Sigma(2,0.2) |
static SharedDiagonal | gtsam::example::impl::kSigma1_0 = noiseModel::Isotropic::Sigma(2,1.0) |
Create small example with two poses and one landmark.
smallExample
Definition in file smallExample.h.