00001 /** \defgroup mrpt_slam_grp [mrpt-slam] 00002 00003 <small> <a href="index.html#libs">Back to list of all libraries</a> | <a href="modules.html" >See all modules</a> </small> 00004 <br> 00005 00006 <h2>Library <code>mrpt-slam</code></h2> 00007 <hr> 00008 00009 Interesting stuff in this library: 00010 00011 - mrpt::slam::CMetricMapBuilder: A virtual base for both ICP and RBPF-based SLAM. 00012 00013 - mrpt::slam::CMonteCarloLocalization2D: Particle filter-based (Monte Carlo) localization for a robot in a planar scenario. 00014 00015 - mrpt::slam::CMultiMetricMap: The most versatile kind of metric map, which contains an arbitrary number of any other maps. 00016 00017 - Kalman Filters-based Range-Bearing SLAM, in 2D and 3D: See mrpt::slam::CRangeBearingKFSLAM and mrpt::slam::CRangeBearingKFSLAM2D. 00018 00019 - Data association: The NN and the JCBB algorithms, as very generic templates. See data_association.h 00020 00021 00022 00023 See the full list of classes in mrpt::slam. 00024 Note that there are many classes 00025 in that namespace not in the library mrpt-slam, but in libraries mrpt-slam depends 00026 on. However, in you set mrpt-slam as a dependence of your project, you can be safe 00027 all mrpt::slam classes will be available to you. 00028 00029 See also: For Graph-SLAM, see the namespace mrpt::graphslam in the library mrpt-graphslam. 00030 00031 00032 */ 00033
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