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Classes | |
struct | mrpt::maps::CMultiMetricMapPDF::TPredictionParams |
The struct for passing extra simulation parameters to the prediction/update stage when running a particle filter. More... | |
class | mrpt::maps::CMultiMetricMapPDF |
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). More... | |
struct | mrpt::slam::CMetricMapBuilder::TOptions |
Options for the algorithm. More... | |
class | mrpt::slam::CMetricMapBuilder |
This virtual class is the base for SLAM implementations. More... | |
struct | mrpt::slam::CMetricMapBuilderICP::TConfigParams |
Algorithm configuration params. More... | |
struct | mrpt::slam::CMetricMapBuilderICP::TDist |
Traveled distances from last map update / ICP-based localization. More... | |
class | mrpt::slam::CMetricMapBuilderICP |
A class for very simple 2D SLAM based on ICP. More... | |
struct | mrpt::slam::CMetricMapBuilderRBPF::TConstructionOptions |
Options for building a CMetricMapBuilderRBPF object, passed to the constructor. More... | |
struct | mrpt::slam::CMetricMapBuilderRBPF::TStats |
This structure will hold stats after each execution of processActionObservation. More... | |
class | mrpt::slam::CMetricMapBuilderRBPF |
This class implements a Rao-Blackwelized Particle Filter (RBPF) approach to map building (SLAM). More... | |
struct | mrpt::slam::CRangeBearingKFSLAM::TOptions |
The options for the algorithm. More... | |
struct | mrpt::slam::CRangeBearingKFSLAM::TDataAssocInfo |
Information for data-association: More... | |
class | mrpt::slam::CRangeBearingKFSLAM |
An implementation of EKF-based SLAM with range-bearing sensors, odometry, a full 6D robot pose, and 3D landmarks. More... | |
struct | mrpt::slam::CRangeBearingKFSLAM2D::TOptions |
The options for the algorithm. More... | |
struct | mrpt::slam::CRangeBearingKFSLAM2D::TDataAssocInfo |
Information for data-association: More... | |
class | mrpt::slam::CRangeBearingKFSLAM2D |
An implementation of EKF-based SLAM with range-bearing sensors, odometry, and a 2D (+heading) robot pose, and 2D landmarks. More... | |
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