Initialize the samples in this filter according to the given mean
inside the bounding box and set all the weights to a uniform value
(1/getNumberOfSamples()).
Initialize the samples in this filter according to the given mean and
stdDev inside the bounding box and set all the weights to a uniform value
(1/getNumberOfSamples()).
Initialize the samples in this filter according to the given mean and
stdDev inside the WorldMap and set all the weights to a uniform value (1 /
getNumberOfSamples()).
Initialize the samples in this filter according to the given mean and
stdDev inside specified min/max bounding box and set all the weights to a
uniform value (1 / getNumberOfSamples()).
Initialize the samples in this filter according to a uniform distribution
inside the the WorldMap and set all the weights to a uniform value
(1/getNumberOfSamples()).
Initialize the samples in this filter according to a uniform distribution
inside the specified bounding box and set all the weights to a uniform
value (1/getNumberOfSamples()).
Returns true if the given position, already transformed to the grid
reference frame, is consistent with this world map (i.e. not off the map,
or in an obstacle).