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Types & classes270 in github.com/Ekumen-OS/beluga

⨍ Functions 748◇ Types & classes 270↳ Endpoints 4

↓ 33 callersClasspolicy

beluga/include/beluga/policies/policy.hpp:24

↓ 19 callersClassLandmarkMap

Basic 3D landmark map datatype

beluga/include/beluga/sensor/data/landmark_map.hpp:40

↓ 9 callersClassIndexingIterator

beluga/include/beluga/utility/indexing_iterator.hpp:38

↓ 7 callersClassLaserScan

Thin wrapper type for 2D `sensor_msgs/LaserScan` messages.

beluga_ros/include/beluga_ros/laser_scan.hpp:36

↓ 3 callersClassNDTMap2D

beluga_tools/beluga_tools/conversion_utils.py:156

↓ 3 callersClassNormalDistribution

Wrapper around scipy's multivariate normal distribution implementation. Allows for equality checks and typing hints.

beluga_tools/beluga_tools/conversion_utils.py:48

↓ 2 callersClassAmcl

Implementation of the 2D Adaptive Monte Carlo Localization (AMCL) algorithm. Generic two-dimensional implementation of the Adaptive Monte Carlo Locali

beluga_ros/include/beluga_ros/amcl.hpp:102

↓ 2 callersClassDiscreteCell2D

beluga_tools/beluga_tools/conversion_utils.py:35

↓ 2 callersClassDiscreteCell3D

beluga_tools/beluga_tools/conversion_utils.py:41

↓ 2 callersClassScriptError

beluga_benchmark/beluga_benchmark/exceptions.py:16

↓ 2 callersClassThrunRecoveryProbabilityEstimator

Random particle probability estimator. * This class implements an estimator for what probability to use for injecting random * particles (not sampled

beluga/include/beluga/algorithm/thrun_recovery_probability_estimator.hpp:40

↓ 2 callersClassiterator

beluga/include/beluga/algorithm/raycasting/bresenham.hpp:54

↓ 1 callersClassAmclParams

Struct containing parameters for the Adaptive Monte Carlo Localization (AMCL) implementation.

beluga_ros/include/beluga_ros/amcl.hpp:50

↓ 1 callersClassFileContentChecker

Helper class to check the contents of a file and apply fixes.

tools/check_copyright.py:52

↓ 1 callersClassNDTMap3D

beluga_tools/beluga_tools/conversion_utils.py:69

↓ 1 callersClassOccupancyGrid

beluga_tools/beluga_tools/conversion_utils.py:294

↓ 1 callersClassmean_fn

beluga/include/beluga/algorithm/estimation.hpp:42

beluga/include/beluga/algorithm/amcl_core.hpp:81

2D AMCL as a ROS 2 composable lifecycle node.

beluga_amcl/include/beluga_amcl/amcl_node.hpp:55

ClassAmclNodeUnderTest

Test class that provides convenient public accessors.

beluga_amcl/test/test_amcl_node.cpp:38

ClassAmclNodeUnderTest

Test class that provides convenient public accessors.

beluga_amcl/test/test_ndt_amcl_node.cpp:40

ClassAmclNodeUnderTest

Test class that provides convenient public accessors.

beluga_amcl/test/test_ndt_amcl_3d_node.cpp:41

ClassAmclParams

Struct containing parameters for the Adaptive Monte Carlo Localization (AMCL) implementation.

beluga/include/beluga/algorithm/amcl_core.hpp:34

beluga/test/benchmark/benchmark_tuple_vector.cpp:45

ClassBaseAMCLNode

Base AMCL lifecycle node, with some basic common functionalities, such as transform tree utilities, common publishers, subscribers, lifecycle related

beluga_amcl/include/beluga_amcl/ros2_common.hpp:59

ClassBaseDenseGrid2

beluga/include/beluga/sensor/data/dense_grid.hpp:83

ClassBaseLaserScan

beluga/include/beluga/sensor/data/laser_scan.hpp:59

ClassBaseLinearGrid2

beluga/include/beluga/sensor/data/linear_grid.hpp:64

ClassBaseNodeFixture

beluga_amcl/test/test_amcl_node.cpp:52

ClassBaseNodeFixture

beluga_amcl/test/test_ndt_amcl_node.cpp:54

ClassBaseNodeFixture

beluga_amcl/test/test_ndt_amcl_3d_node.cpp:55

ClassBaseOccupancyGrid2

beluga/include/beluga/sensor/data/occupancy_grid.hpp:88

ClassBasePointCloud

beluga/include/beluga/sensor/data/point_cloud.hpp:56

ClassBaseRegularGrid

beluga/include/beluga/sensor/data/regular_grid.hpp:64

ClassBaseSparsePointCloud

beluga/include/beluga/sensor/data/sparse_point_cloud.hpp:56

ClassBaselineGrid

beluga/test/benchmark/benchmark_raycasting.cpp:60

ClassBeamModelParam

Parameters used to construct a BeamSensorModel instance. * See Probabilistic Robotics \cite thrun2005probabilistic table 6.2. */

beluga/include/beluga/sensor/beam_model.hpp:43

ClassBeamSensorModel

beluga/include/beluga/sensor/beam_model.hpp:76

ClassBearingModelParam

Parameters used to construct a BearingSensorModel instance.

beluga/include/beluga/sensor/bearing_sensor_model.hpp:42

ClassBearingSensorModel

beluga/include/beluga/sensor/bearing_sensor_model.hpp:60

ClassBearingSensorModelTests

beluga/test/beluga/sensor/test_bearing_sensor_model.cpp:78

ClassBresenham2i

Bresenham's 2D line drawing algorithm, optimized for integer arithmetic.

beluga/include/beluga/algorithm/raycasting/bresenham.hpp:34

ClassCellHasher

beluga/include/beluga/sensor/ndt_sensor_model.hpp:52

ClassCircularArray

beluga/include/beluga/containers/circular_array.hpp:76

EnumCircularArrayFeatureFlags

Feature flags for circular arrays.

beluga/include/beluga/containers/circular_array.hpp:35

ClassClusterBasedEstimationDetailTesting

beluga/test/beluga/algorithm/test_cluster_based_estimation.cpp:44

ClassClusterCell

beluga/include/beluga/algorithm/cluster_based_estimation.hpp:113

ClassClusterTag

beluga/include/beluga/primitives.hpp:59

ClassContainerTest

beluga/test/beluga/containers/test_tuple_vector.cpp:63

ClassCovarianceCalculation

beluga/test/beluga/algorithm/test_estimation.cpp:56

ClassDifferentialDriveModel

beluga/include/beluga/motion/differential_drive_model.hpp:80

ClassDifferentialDriveModelParam

Parameters to construct a DifferentialDriveModel instance. * See Probabilistic Robotics \cite thrun2005probabilistic Chapter 5.4.2, particularly table

beluga/include/beluga/motion/differential_drive_model.hpp:40

ClassDifferentialDriveModelTest

beluga/test/beluga/motion/test_differential_drive_model.cpp:50

beluga/include/beluga/algorithm/cluster_based_estimation.hpp:356

ClassExponentialFilter

Callable type implementing an exponential filter.

beluga/include/beluga/algorithm/exponential_filter.hpp:26

beluga/include/beluga/sensor/data/occupancy_grid.hpp:93

beluga/test/beluga/sensor/data/test_sparse_value_grid.cpp:37

beluga/test/beluga/sensor/data/test_dense_grid.cpp:32

beluga/include/beluga/algorithm/distance_map.hpp:60

ClassKeyWithPriority

beluga/include/beluga/algorithm/cluster_based_estimation.hpp:74

ClassKldConditionWithParam

beluga/test/beluga/views/test_take_while_kld.cpp:98

ClassLandmarkBearingDetection

Landmark bearing detection data

beluga/include/beluga/types/landmark_detection_types.hpp:45

ClassLandmarkMapBearingTest

beluga/test/beluga/sensor/data/test_landmark_map.cpp:85

ClassLandmarkMapCartesianTest

beluga/test/beluga/sensor/data/test_landmark_map.cpp:29

ClassLandmarkModelParam

Parameters used to construct a LandmarkSensorModel instance (both 2D and 3D). * See Probabilistic Robotics \cite thrun2005probabilistic section 6.6 *

beluga/include/beluga/sensor/landmark_sensor_model.hpp:44

ClassLandmarkPositionDetection

Landmark bearing detection data

beluga/include/beluga/types/landmark_detection_types.hpp:39

ClassLandmarkSensorModel

beluga/include/beluga/sensor/landmark_sensor_model.hpp:64

ClassLandmarkSensorModelTests

beluga/test/beluga/sensor/test_landmark_sensor_model.cpp:71

beluga/test/beluga/sensor/data/test_sparse_value_grid.cpp:31

ClassLikelihoodFieldModel

beluga/include/beluga/sensor/likelihood_field_model.hpp:42

ClassLikelihoodFieldModelBase

beluga/include/beluga/sensor/likelihood_field_model_base.hpp:81

ClassLikelihoodFieldModelBaseParam

Parameters used to construct a LikelihoodFieldModelBase instance. * See Probabilistic Robotics \cite thrun2005probabilistic Chapter 6.4, particularly

beluga/include/beluga/sensor/likelihood_field_model_base.hpp:42

ClassLikelihoodFieldProbModel

beluga/include/beluga/sensor/likelihood_field_prob_model.hpp:42

beluga/include/beluga/algorithm/raycasting/bresenham.hpp:51

beluga_amcl/test/test_ros2_common.cpp:29

ClassMockPredicate

beluga/test/beluga/policies/test_policy.cpp:26

ClassMultivariateNormalDistribution

beluga/include/beluga/random/multivariate_normal_distribution.hpp:138

ClassMultivariateNormalDistributionParam

beluga/include/beluga/random/multivariate_normal_distribution.hpp:33

ClassMultivariateNormalDistributionWithParam

beluga/test/beluga/random/test_multivariate_normal_distribution.cpp:67

ClassMultivariateUniformDistribution

beluga/include/beluga/random/multivariate_uniform_distribution.hpp:40

ClassMultivariateUniformDistribution<Sophus::SE2d, Eigen::AlignedBox2d>

beluga/include/beluga/random/multivariate_uniform_distribution.hpp:44

ClassMultivariateUniformDistribution<Sophus::SE2d, OccupancyGrid>

beluga/include/beluga/random/multivariate_uniform_distribution.hpp:127

ClassMultivariateUniformDistribution<Sophus::SE3d, Eigen::AlignedBox3d>

beluga/include/beluga/random/multivariate_uniform_distribution.hpp:81

beluga/include/beluga/sensor/data/ndt_cell.hpp:36

ClassNDTModelParam

beluga/include/beluga/sensor/ndt_sensor_model.hpp:153

ClassNDTSensorModel

beluga/include/beluga/sensor/ndt_sensor_model.hpp:178

ClassNdtAmclNode

2D NDT AMCL as a ROS 2 composable lifecycle node.

beluga_amcl/include/beluga_amcl/ndt_amcl_node.hpp:104

ClassNdtAmclNode3D

3D NDT AMCL as a ROS 2 composable lifecycle node.

beluga_amcl/include/beluga_amcl/ndt_amcl_node_3d.hpp:85

beluga/include/beluga/type_traits/strongly_typed_numeric.hpp:40

beluga/test/beluga/utility/test_forward_like.cpp:23

beluga/test/beluga/type_traits/test_tuple_traits.cpp:39

beluga/test/beluga/type_traits/test_particle_traits.cpp:28

ClassOccupancyGrid

Thin wrapper type for 2D `nav_msgs/OccupancyGrid` messages.

beluga_ros/include/beluga_ros/occupancy_grid.hpp:42

ClassOmnidirectionalDriveModel

Sampled odometry model for an omnidirectional drive. * This class satisfies \ref MotionModelPage. */

beluga/include/beluga/motion/omnidirectional_drive_model.hpp:78

ClassOmnidirectionalDriveModelParam

Parameters to construct an OmnidirectionalDriveModel instance.

beluga/include/beluga/motion/omnidirectional_drive_model.hpp:36

ClassOmnidirectionalDriveModelTest

beluga/test/beluga/motion/test_omnidirectional_drive_model.cpp:47

ClassParameters

beluga_tutorial/src/main.cpp:36

beluga/test/beluga/views/test_take_while_kld.cpp:223

beluga/test/beluga/algorithm/test_effective_sample_size.cpp:74

beluga/include/beluga/algorithm/cluster_based_estimation.hpp:347

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