distance_field: Computes euclidean distance transforms (EDT) of a 3-D voxel grid
This package contains algorithms that can compute the
Euclidean Distance Transform (EDT) of a 3-D voxel grid. The input to these algorithms is
an array of points (which could represent the positions of obstacles in the world).
The EDT provides a voxel grid in which in which each cell contains the distance to the
closest obstacle. The VoxelGrid class can also be used as a generic, templatized container for a discretized 3-D voxel grid.
All implementations derive from the distance_field::DistanceField class. There are two implementations currently available - distance_field::PropagationDistanceField and distance_field::PFDistanceField (see the docs on individual classes for details). The main functions you will need to use these are:
This package is just a library and contains no ROS nodes.