base::GaussianValidStateSampler Class Reference
Generate valid samples using the Gaussian sampling strategy. More...
#include <ompl/base/samplers/GaussianValidStateSampler.h>
Inheritance diagram for base::GaussianValidStateSampler:
Public Member Functions | |
| GaussianValidStateSampler (const SpaceInformation *si) | |
| Constructor. | |
| virtual bool | sample (State *state) |
| Sample a state. Return false in case of failure. | |
| virtual bool | sampleNear (State *state, const State *near, const double distance) |
| Sample a state near another, within specified distance. Return false, in case of failure. | |
| double | getStdDev () const |
| Get the standard deviation used when sampling. | |
| void | setStdDev (double stddev) |
| Set the standard deviation to use when sampling. | |
Protected Attributes | |
| StateSamplerPtr | sampler_ |
| The sampler to build upon. | |
| double | stddev_ |
| The standard deviation to use in the sampling process. | |
Detailed Description
Generate valid samples using the Gaussian sampling strategy.
Definition at line 49 of file GaussianValidStateSampler.h.
Member Function Documentation
| bool base::GaussianValidStateSampler::sampleNear | ( | State * | state, |
| const State * | near, | ||
| const double | distance | ||
| ) | [virtual] |
Sample a state near another, within specified distance. Return false, in case of failure.
- Note:
- The memory for near must be disjoint from the memory for state
Implements base::ValidStateSampler.
Definition at line 73 of file GaussianValidStateSampler.cpp.
The documentation for this class was generated from the following files:
- ompl/base/samplers/GaussianValidStateSampler.h
- ompl/base/samplers/src/GaussianValidStateSampler.cpp