Bench-MR
A Motion Planning Benchmark for Wheeled Mobile Robots
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#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"
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={}) |
#define DEBUG |
ob::StateSamplerPtr allocateHaltonStateSampler | ( | const ob::StateSpace * | space, |
std::vector< unsigned int > | bases = {} |
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