Section: robotpkg/mapping
Priority: extra
Maintainer: openrobots@laas.fr
Source: /opt/robotpkg/var/lib/robotpkg/packages/bsd/Ubuntu-26.04-x86_64/pub/octomap-1.10.0.tgz
Package: robotpkg-octomap
Version: 1.10.0
Architecture: amd64
Homepage: http://octomap.github.io/
Depends: libstdc++6
Conflicts: robotpkg-octomap
Provides: robotpkg-octomap
Replaces: robotpkg-octomap
Description: An Efficient Probabilistic 3D Mapping Framework Based on Octrees
 License: modified-bsd
 Debian-Packager: robotpkg@laas.fr
  The OctoMap library implements a 3D occupancy grid mapping approach, providing
  data structures and mapping algorithms in C++ particularly suited for
  robotics. The map implementation is based on an octree and is designed to meet
  the following requirements:
 .
 - Full 3D model. The map is able to model arbitrary environments without prior
   assumptions about it. The representation models occupied areas as well as
   free space. Unknown areas of the environment are implicitly encoded in the
   map. While the distinction between free and occupied space is essential for
   safe robot navigation, information about unknown areas is important, e.g.,
   for autonomous exploration of an environment.
 - Updatable. It is possible to add new information or sensor readings at any
   time. Modeling and updating is done in a probabilistic fashion. This accounts
   for sensor noise or measurements which result from dynamic changes in the
   environment, e.g., because of dynamic objects. Furthermore, multiple
   robots are able to contribute to the same map and a previously recorded
   map is extendable when new areas are explored.
 - Flexible. The extent of the map does not have to be known in advance.
   Instead, the map is dynamically expanded as needed. The map is
   multi-resolution so that, for instance, a high-level planner is able to use a
   coarse map, while a local planner may operate using a fine resolution. This
   also allows for efficient visualizations which scale from coarse overviews to
   detailed close-up views.
 - Compact. The map is stored efficiently, both in memory and on disk. It is
   possible to generate compressed files for later usage or convenient exchange
   between robots even under bandwidth constraints.
 .
 .
 Homepage:
 http://octomap.github.io/

