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<div class="title">Metric SLAM algorithms</div> </div>
<div class="ingroups"><a class="el" href="group__mrpt__slam__grp.html">[mrpt-slam]</a></div></div>
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Collaboration diagram for Metric SLAM algorithms:</div>
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<center><table><tr><td><img src="group__metric__slam__grp.png" border="0" alt="" usemap="#group____metric____slam____grp"/>
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Classes</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1slam_1_1_c_metric_map_builder.html">mrpt::slam::CMetricMapBuilder</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">This virtual class is the base for SLAM implementations. <a href="classmrpt_1_1slam_1_1_c_metric_map_builder.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1slam_1_1_c_metric_map_builder_i_c_p.html">mrpt::slam::CMetricMapBuilderICP</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A class for very simple 2D SLAM based on ICP. <a href="classmrpt_1_1slam_1_1_c_metric_map_builder_i_c_p.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1slam_1_1_c_metric_map_builder_r_b_p_f.html">mrpt::slam::CMetricMapBuilderRBPF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">This class implements a Rao-Blackwelized Particle Filter (RBPF) approach to map building (SLAM). <a href="classmrpt_1_1slam_1_1_c_metric_map_builder_r_b_p_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1slam_1_1_c_multi_metric_map_p_d_f.html">mrpt::slam::CMultiMetricMapPDF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Rao-Blackwellized set of particles for solving the SLAM problem (This class is the base of RBPF-SLAM applications). <a href="classmrpt_1_1slam_1_1_c_multi_metric_map_p_d_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1slam_1_1_c_range_bearing_k_f_s_l_a_m.html">mrpt::slam::CRangeBearingKFSLAM</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">An implementation of EKF-based SLAM with range-bearing sensors, odometry, a full 6D robot pose, and 3D landmarks. <a href="classmrpt_1_1slam_1_1_c_range_bearing_k_f_s_l_a_m.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1slam_1_1_c_range_bearing_k_f_s_l_a_m2_d.html">mrpt::slam::CRangeBearingKFSLAM2D</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">An implementation of EKF-based SLAM with range-bearing sensors, odometry, and a 2D (+heading) robot pose, and 2D landmarks. <a href="classmrpt_1_1slam_1_1_c_range_bearing_k_f_s_l_a_m2_d.html#details">More...</a><br/></td></tr>
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