template class mrpt::graphslam::deciders::CFixedIntervalsNRD¶
Fixed Intervals Odometry-based Node Registration.
Determine whether to insert a new pose in the graph given the distance and angle thresholds. When the odometry readings indicate that any of the thresholds has been surpassed, with regards to the previous registered pose, a new node is added in the graph.
Current decider is a minimal, simple implementation of the CNodeRegistrationDecider interface which can be used for 2D datasets. Decider does not guarantee thread safety when accessing the GRAPH_T resource. This is handled by the CGraphSlamEngine instance.
Map type: 2D
MRPT rawlog format: #1, #2
Graph Type: CPosePDFGaussianInf
Observations Used: CObservationOdometry, CActionRobotMovement2D
Node Registration Strategy: Fixed Odometry Intervals
class_verbosity
Section : NodeRegistrationDeciderParameters
Default value : 1 (mrpt::system::LVL_INFO)
Required : FALSE
registration_max_distance
Section : NodeRegistrationDeciderParameters
Default value : 0.5 // meters
Required : FALSE
registration_max_angle
Section : NodeRegistrationDeciderParameters
Default value : 60 // degrees
Required : FALSE
#include <mrpt/graphslam/NRD/CFixedIntervalsNRD.h> template <class GRAPH_T = typename mrpt::graphs::CNetworkOfPoses2DInf> class CFixedIntervalsNRD: public mrpt::graphslam::deciders::CNodeRegistrationDecider { public: // typedefs typedef mrpt::graphslam::deciders::CNodeRegistrationDecider<GRAPH_T> node_reg; typedef typename GRAPH_T::constraint_t constraint_t; typedef typename GRAPH_T::constraint_t::type_value pose_t; typedef typename GRAPH_T::global_pose_t global_pose_t; typedef mrpt::math::CMatrixFixed<double, constraint_t::state_length, constraint_t::state_length> inf_mat_t; typedef mrpt::graphslam::deciders::CNodeRegistrationDecider<GRAPH_T> parent_t; // structs struct TParams; // fields TParams params; // methods virtual void loadParams(const std::string& source_fname); virtual void printParams() const; virtual void getDescriptiveReport(std::string* report_str) const; virtual bool updateState(mrpt::obs::CActionCollection::Ptr action, mrpt::obs::CSensoryFrame::Ptr observations, mrpt::obs::CObservation::Ptr observation); virtual global_pose_t getCurrentRobotPosEstimation() const; };
Inherited Members¶
public: // typedefs typedef typename GRAPH_T::constraint_t::type_value pose_t; typedef typename GRAPH_T::global_pose_t global_pose_t; typedef mrpt::math::CMatrixFixed<double, constraint_t::state_length, constraint_t::state_length> inf_mat_t; // structs struct TMsg; // methods virtual void setClassName(const std::string& name); bool isMultiRobotSlamClass(); std::string getClassName() const;
Typedefs¶
typedef mrpt::graphslam::deciders::CNodeRegistrationDecider<GRAPH_T> node_reg
Handy typedefs.
Node Registration Decider
typedef typename GRAPH_T::constraint_t constraint_t
type of graph constraints
typedef typename GRAPH_T::constraint_t::type_value pose_t
type of underlying poses (2D/3D).
typedef mrpt::graphslam::deciders::CNodeRegistrationDecider<GRAPH_T> parent_t
Node Registration Decider.
Methods¶
virtual void loadParams(const std::string& source_fname)
Load the necessary for the decider/optimizer configuration parameters.
virtual void printParams() const
Print the problem parameters - relevant to the decider/optimizer to the screen in a unified/compact way.
virtual void getDescriptiveReport(std::string* report_str) const
Fill the provided string with a detailed report of the decider/optimizer state.
Report should include (part of) the following:
Timing of important methods
Properties fo class at the current time
Logging of commands until current time
virtual bool updateState(mrpt::obs::CActionCollection::Ptr action, mrpt::obs::CSensoryFrame::Ptr observations, mrpt::obs::CObservation::Ptr observation)
Method makes use of the CActionCollection/CObservation to update the odometry estimation from the last inserted pose.
Returns:
True upon successful node registration in the graph
virtual global_pose_t getCurrentRobotPosEstimation() const
Getter method for fetching the currently estimated robot position.
In single-robot situations this is most likely going to be the last registered node position + an position/uncertainty increment from that position