! * This class holds information about a rectangular region * of cells of the circular buffer. */

! * Iterator class to iterate through a rectangular part of the map (submap). * Before using this iterator, make sure that the requested submap is

* Class that holds a function pointer to analytical * functions used for evaluation. Analytical functions * are in the form of f = f(x,y). One could

! * Iterator class to iterate through a circular area of the map. */

* Data matrix that can hold function values * these can be either function values at requested * positions or their derivatives. */

* Enum for the derivatives direction * to perform interpolation one needs * derivatives w.r.t. to x and y dimension. */

! * Iterator class to iterate through a ellipsoid area of the map. * The main axis of the ellipse are aligned with the map frame. */

! * Applies a chain of grid map filters to a topic and * republishes the resulting grid map. */

! * Visualization of the grid map as a flat point cloud. */

@brief Helper class for transforming data into Ogre's world frame (the fixed frame). * * During one frame update (nominally 33ms), the tf tree stays

! * Grid map managing multiple overlaying maps holding float values. * Data structure implemented as two-dimensional circular buffer so map * can b

! * Conversions between grid maps and OpenCV images. */

! * Processing of grid maps with OpenCV methods. */

! * Iterator class to iterate trough the entire grid map. */

! * Loads and publishes a grid map from a bag file. */

! * Conversions between grid maps and Octomap types. */

! * Conversions between grid maps and PCL types. */

! * ROS interface for the Grid Map library. */

! * Saves an ElevationMapping layer as image. */

Visualizes a single grid_map_msgs::GridMap message.

! * Visualizes a grid map by publishing different topics that can be viewed in Rviz. */

! * Loads an image and saves it as layer 'elevation' of a grid map. * The grid map is published and can be viewed in Rviz. */

* Interpolation is performed on a unit square. * Hence we need to compute 4 corners of that unit square, * and find their indices in the grid map. I

* Class that actually runs the demo * publishes maps for visualization * computes errors * measures times required for computation */

* Interpolations are ordered in the order * of increasing accuracy and computational complexity. * INTER_NEAREST - fastest, but least accurate,

! * Visualizes a grid map by publishing different topics that can be viewed in Rviz. */

! * Iterator class to iterate over a line in the map. * Based on Bresenham Line Drawing algorithm. */

! * Visualization of the region of the grid map as border line. */

! * Receives a volumetric OctoMap and converts it to a grid map with an elevation layer. * The grid map is published and can be viewed in Rviz. */