#include <RigidJointFilter.h>
Public Member Functions | |
RigidJointFilterPtr | clone () const |
virtual void | estimateMeasurementHistoryLikelihood () |
virtual void | estimateUnnormalizedModelProbability () |
virtual JointFilterType | getJointFilterType () const |
virtual std::string | getJointFilterTypeStr () const |
virtual std::vector< visualization_msgs::Marker > | getJointMarkersInRRBFrame () const |
virtual geometry_msgs::TwistWithCovariance | getPredictedSRBDeltaPoseWithCovInSensorFrame () |
Generate a prediction about the change in pose of the second rigid body (SRB) and its covariance using the frame of sensor (SF) as observation and ref frame based on the predicted measurement and the predicted next pose of the reference rigid body (RRB) in the sensor frame (SF) More... | |
virtual geometry_msgs::TwistWithCovariance | getPredictedSRBPoseWithCovInSensorFrame () |
virtual geometry_msgs::TwistWithCovariance | getPredictedSRBVelocityWithCovInSensorFrame () |
Generate a prediction about the velocity of the second rigid body (SRB) and its covariance using the frame of sensor (SF) as observation and ref frame based on the predicted measurement and the predicted next pose of the reference rigid body (RRB) in the sensor frame (SF) More... | |
virtual void | initialize () |
virtual void | predictMeasurement () |
RigidJointFilter () | |
RigidJointFilter (const RigidJointFilter &rigid_joint) | |
virtual void | setMaxRotationRigid (double max_rot) |
virtual void | setMaxTranslationRigid (double max_trans) |
virtual | ~RigidJointFilter () |
Public Member Functions inherited from omip::JointFilter | |
JointFilterPtr | clone () const |
Creates a new Joint object with the same values as this one and passes its reference. More... | |
virtual void | correctState () |
Correct the state of the filter (the joint parameters) based on the difference between the predicted and the last acquired measurement It is only implemented for revolute and prismatic because rigid and disconnected have no parameters to correct. More... | |
virtual double | getCovarianceOrientationPhiPhiInRRBFrame () const |
virtual double | getCovarianceOrientationPhiThetaInRRBFrame () const |
virtual double | getCovarianceOrientationThetaThetaInRRBFrame () const |
virtual JointCombinedFilterId | getJointId () const |
Get the unique Id that identifies this joint. More... | |
virtual Eigen::Vector3d | getJointOrientationRPYInRRBFrame () const |
virtual Eigen::Vector3d | getJointOrientationUnitaryVector () const |
virtual Eigen::Vector3d | getJointPositionInRRBFrame () const |
virtual double | getJointState () const |
Return the joint state. Useful for plotting and testing purposes (monitoring action) More... | |
virtual double | getJointVelocity () const |
Return the joint velocity. Useful for plotting and testing purposes (monitoring action) More... | |
virtual double | getLikelihoodOfLastMeasurements () const |
Return the estimated error of the last joint parameters by testing them against the full observed trajectory. More... | |
virtual double | getLoopPeriodNS () const |
virtual double | getModelPriorProbability () const |
Get the prior probability of this type of model/joint. We could use this in the feature if the robot is in environments where is more probable to encounter joints of certain type. More... | |
virtual double | getNormalizingTerm () |
virtual int | getNumSamplesForLikelihoodEstimation () const |
virtual double | getOrientationPhiInRRBFrame () const |
virtual double | getOrientationThetaInRRBFrame () const |
virtual Eigen::Twistd | getPredictedMeasurement () const |
Get the predicted pose-twist of the second rigid body (SRB) using the frame of the reference rigid body (RRBF) as observation and ref frame. More... | |
virtual double | getProbabilityOfJointFilter () const |
Return the normalized joint filter probability as p(Model|Data) = p(Data|Model) x p(Model) / p(Data) where SUM_all_models( p(Model|Data) ) = 1. More... | |
virtual double | getUnnormalizedProbabilityOfJointFilter () const |
Return the unnormalized joint filter probability as p(Data|Model) x p(Model) More... | |
JointFilter () | |
Constructor. More... | |
JointFilter (const JointFilter &joint) | |
Copy constructor. More... | |
virtual void | predictState (double time_interval_ns) |
Predict the next state. More... | |
virtual void | setCovarianceAdditiveSystemNoiseJointState (double sigma_sys_noise_pv) |
virtual void | setCovarianceAdditiveSystemNoiseJointVelocity (double sigma_sys_noise_pvd) |
virtual void | setCovarianceAdditiveSystemNoisePhi (double sigma_sys_noise_phi) |
virtual void | setCovarianceAdditiveSystemNoisePx (double sigma_sys_noise_px) |
virtual void | setCovarianceAdditiveSystemNoisePy (double sigma_sys_noise_py) |
virtual void | setCovarianceAdditiveSystemNoisePz (double sigma_sys_noise_pz) |
virtual void | setCovarianceAdditiveSystemNoiseTheta (double sigma_sys_noise_theta) |
virtual void | setCovarianceMeasurementNoise (double sigma_meas_noise) |
virtual void | setCovariancePrior (double prior_cov_vel) |
virtual void | setInitialMeasurement (const joint_measurement_t &initial_measurement, const Eigen::Twistd &rrb_pose_at_srb_birth_in_sf, const Eigen::Twistd &srb_pose_at_srb_birth_in_sf) |
virtual void | setJointId (JointCombinedFilterId joint_id) |
virtual void | setLikelihoodOfLastMeasurements (double likelihood) |
Set the estimated error of the last joint parameters (only useful for the disconnected joint because we do not estimate the likelihood internally) More... | |
virtual void | setLoopPeriodNS (double loop_period_ns) |
virtual void | setMeasurement (joint_measurement_t acquired_measurement, const double &measurement_timestamp_ns) |
Set the latest acquired measurement. More... | |
virtual void | setModelPriorProbability (double model_prior_probability) |
Set the prior probability of this type of model/joint. We could use this in the feature if the robot is in environments where is more probable to encounter joints of certain type. More... | |
virtual void | setNormalizingTerm (double normalizing_term) |
Set the normalizing term from the combined filter as the sum of all unnormalized probabilities. More... | |
virtual void | setNumSamplesForLikelihoodEstimation (int likelihood_sample_num) |
virtual | ~JointFilter () |
Destructor. More... | |
Protected Member Functions | |
virtual RigidJointFilter * | doClone () const |
Protected Member Functions inherited from omip::JointFilter | |
void | _initVariables (JointCombinedFilterId joint_id) |
Initialize all variables of the filter. More... | |
Definition at line 43 of file RigidJointFilter.h.
RigidJointFilter::RigidJointFilter | ( | ) |
Constructor
Definition at line 5 of file RigidJointFilter.cpp.
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Destructor
Definition at line 13 of file RigidJointFilter.cpp.
RigidJointFilter::RigidJointFilter | ( | const RigidJointFilter & | rigid_joint | ) |
Copy constructor
Definition at line 18 of file RigidJointFilter.cpp.
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Creates a new Joint object with the same values as this one and passes its reference
Definition at line 63 of file RigidJointFilter.h.
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A Rigid Joint constrains the 6 dofs of the relative motion between RBs Rigid Joints have no motion parameters Rigid Joints have no latent variables
Implements omip::JointFilter.
Definition at line 139 of file RigidJointFilter.h.
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Measure the error of the last joint parameters by testing them against the full observed trajectory of the second RB relative to the reference RB
Reimplemented from omip::JointFilter.
Definition at line 51 of file RigidJointFilter.cpp.
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Reimplemented from omip::JointFilter.
Definition at line 127 of file RigidJointFilter.cpp.
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Return the joint type as one of the possible JointFilterTypes
Implements omip::JointFilter.
Definition at line 315 of file RigidJointFilter.cpp.
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Return the joint type as an string
Implements omip::JointFilter.
Definition at line 320 of file RigidJointFilter.cpp.
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Return rviz markers that show the type and parameters of the estimated joint
Implements omip::JointFilter.
Definition at line 239 of file RigidJointFilter.cpp.
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Generate a prediction about the change in pose of the second rigid body (SRB) and its covariance using the frame of sensor (SF) as observation and ref frame based on the predicted measurement and the predicted next pose of the reference rigid body (RRB) in the sensor frame (SF)
Implements omip::JointFilter.
Definition at line 132 of file RigidJointFilter.cpp.
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Generate a hypothesis about the pose of the second rigid body based on the pose of the reference rigid body and the internal state (joint parameters and latent variable)
Implements omip::JointFilter.
Definition at line 184 of file RigidJointFilter.cpp.
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Generate a prediction about the velocity of the second rigid body (SRB) and its covariance using the frame of sensor (SF) as observation and ref frame based on the predicted measurement and the predicted next pose of the reference rigid body (RRB) in the sensor frame (SF)
Implements omip::JointFilter.
Definition at line 158 of file RigidJointFilter.cpp.
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Reimplemented from omip::JointFilter.
Definition at line 23 of file RigidJointFilter.cpp.
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Generate a hypothesis about the pose of the second rigid body based on the pose of the reference rigid body and the internal state (joint parameters and latent variable)
Reimplemented from omip::JointFilter.
Definition at line 40 of file RigidJointFilter.cpp.
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Definition at line 35 of file RigidJointFilter.cpp.
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Definition at line 30 of file RigidJointFilter.cpp.
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Definition at line 147 of file RigidJointFilter.h.
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Definition at line 145 of file RigidJointFilter.h.
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Definition at line 144 of file RigidJointFilter.h.