Public Member Functions | List of all members
footstep_planner::EuclideanHeuristic Class Reference

Determining the heuristic value by the euclidean distance between two states. More...

#include <Heuristic.h>

Inheritance diagram for footstep_planner::EuclideanHeuristic:
Inheritance graph
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Public Member Functions

 EuclideanHeuristic (double cell_size, int num_angle_bins)
 
virtual double getHValue (const PlanningState &from, const PlanningState &to) const
 
virtual ~EuclideanHeuristic ()
 
- Public Member Functions inherited from footstep_planner::Heuristic
HeuristicType getHeuristicType () const
 
 Heuristic (double cell_size, int num_angle_bins, HeuristicType type)
 
virtual ~Heuristic ()
 

Additional Inherited Members

- Public Types inherited from footstep_planner::Heuristic
enum  HeuristicType { EUCLIDEAN =0, EUCLIDEAN_STEPCOST =1, PATH_COST =2 }
 
- Protected Attributes inherited from footstep_planner::Heuristic
double ivCellSize
 
const HeuristicType ivHeuristicType
 
int ivNumAngleBins
 

Detailed Description

Determining the heuristic value by the euclidean distance between two states.

Definition at line 64 of file Heuristic.h.

Constructor & Destructor Documentation

footstep_planner::EuclideanHeuristic::EuclideanHeuristic ( double  cell_size,
int  num_angle_bins 
)

Definition at line 37 of file Heuristic.cpp.

footstep_planner::EuclideanHeuristic::~EuclideanHeuristic ( )
virtual

Definition at line 42 of file Heuristic.cpp.

Member Function Documentation

double footstep_planner::EuclideanHeuristic::getHValue ( const PlanningState from,
const PlanningState to 
) const
virtual
Returns
The heuristically determined path costs to get from state 'from' to state 'to' where 'to' is supposed to be the goal of the planning task. (Costs are in meter.)

Implements footstep_planner::Heuristic.

Definition at line 47 of file Heuristic.cpp.


The documentation for this class was generated from the following files:


footstep_planner
Author(s): Johannes Garimort, Armin Hornung
autogenerated on Mon Jun 10 2019 13:38:25