Bench-MR
A Motion Planning Benchmark for Wheeled Mobile Robots
Classes | Macros | Functions
PlannerSettings.cpp File Reference
#include "base/PlannerSettings.h"
#include <ompl/base/objectives/MaximizeMinClearanceObjective.h>
#include <ompl/base/objectives/PathLengthOptimizationObjective.h>
#include <ompl/base/samplers/DeterministicStateSampler.h>
#include <ompl/base/samplers/deterministic/HaltonSequence.h>
#include <ompl/base/spaces/DubinsStateSpace.h>
#include <ompl/base/spaces/ReedsSheppStateSpace.h>
#include <ompl/base/spaces/SE2StateSpace.h>
#include <ompl/base/spaces/SO2StateSpace.h>
#include <ompl/control/ODESolver.h>
#include <ompl/control/spaces/RealVectorControlSpace.h>
#include <utils/OptimizationObjective.h>
#include <steering_functions/include/ompl_state_spaces/CurvatureStateSpace.hpp>
#include "base/environments/GridMaze.h"
#include "base/environments/PolygonMaze.h"
#include "planners/OMPLControlPlanner.hpp"
#include "planners/OMPLPlanner.hpp"
#include "steer_functions/POSQ/POSQStateSpace.h"
Include dependency graph for PlannerSettings.cpp:

Classes

struct  InstrumentedStateSpace< StateSpaceT >
 Instrumented state space allows to measure time spent on computing the steer function. More...
 

Macros

#define DEBUG
 

Functions

template<typename DeterministicStateSamplerT >
ob::StateSamplerPtr allocateHaltonStateSampler (const ob::StateSpace *space, std::vector< unsigned int > bases={})
 

Macro Definition Documentation

◆ DEBUG

#define DEBUG

Function Documentation

◆ allocateHaltonStateSampler()

template<typename DeterministicStateSamplerT >
ob::StateSamplerPtr allocateHaltonStateSampler ( const ob::StateSpace *  space,
std::vector< unsigned int >  bases = {} 
)