A class that represents a linear measurement. More...

#include <linear_measurement.hpp>

Inheritance diagram for autoware::prediction::LinearMeasurement< StateT >:

Collaboration diagram for autoware::prediction::LinearMeasurement< StateT >:

Public Types
using	State = StateT

Public Member Functions
	LinearMeasurement ()=default
	Default constructor. More...

	LinearMeasurement (const typename StateT::Vector &measurement, const typename StateT::Vector &variances)
	Construct a new instance of the measurement from a state vector. More...

Public Member Functions inherited from autoware::prediction::MeasurementInterface< Derived >
auto &	state ()
	Get measurement as a state vector. More...

const auto &	state () const
	Get measurement as a state vector. More...

auto &	covariance ()
	Get covariance of the measurement as a matrix. More...

const auto &	covariance () const

auto &	variances ()
	Get variances as a vector. Note that these represent sigmas, not sigmas^2. More...

const auto &	variances () const
	Get variances as a vector. Note that these represent sigmas, not sigmas^2. More...

template<typename OtherStateT >
auto	create_new_instance_from (const OtherStateT &other_state) const
	Create a new instance of the measurement from another state. More...

template<typename OtherStateT >
OtherStateT	map_into (const OtherStateT &other_state) const
	Map this measurement into another state space. More...

template<typename OtherStateT >
auto	mapping_matrix_from (const OtherStateT &other_state) const
	Get a matrix that maps a state to this measurement's state space. More...

Protected Member Functions
StateT &	crtp_state () noexcept
	Get state vector function that is to be called by the CRTP interface. More...

const StateT &	crtp_state () const noexcept
	Get state vector function that is to be called by the CRTP interface. More...

StateT::Vector &	crtp_variances () noexcept
	Get variances function that is to be called by the CRTP interface. More...

const StateT::Vector &	crtp_variances () const noexcept
	Get variances function that is to be called by the CRTP interface. More...

StateT::Matrix &	crtp_covariance () noexcept
	Get covariance function that is to be called by the CRTP interface. More...

const StateT::Matrix &	crtp_covariance () const noexcept
	Get covariance function that is to be called by the CRTP interface. More...

template<typename OtherStateT >
StateT	crtp_create_new_instance_from (const OtherStateT &other_state) const
	Create a new instance of the measurement from another state. More...

template<typename OtherStateT >
OtherStateT	crtp_map_into (const OtherStateT &other_state) const noexcept
	Copy this measurement into another state space. More...

template<typename OtherStateT >
MappingMatrixFrom< OtherStateT >	crtp_mapping_matrix_from (const OtherStateT &) const
	Get the mapping matrix between the two states called by the CRTP interface. More...

Protected Member Functions inherited from autoware::common::helper_functions::crtp< Derived >
const Derived &	impl () const

Derived &	impl ()

Protected Attributes
friend	MeasurementInterface< LinearMeasurement< StateT > >

Friends
bool	operator== (const LinearMeasurement &lhs, const LinearMeasurement &rhs)
	An equality operator. More...

Detailed Description

template<typename StateT>
class autoware::prediction::LinearMeasurement< StateT >

A class that represents a linear measurement.

A linear measurement is one that measures directly variables from some unknown real state, thus requiring no measurement Jacobian computation. The mapping matrix will only have 1s and 0s in it.

Template Parameters

StateT A measured state.

Member Typedef Documentation

◆ State

template<typename StateT >

using autoware::prediction::LinearMeasurement< StateT >::State = StateT

Constructor & Destructor Documentation

◆ LinearMeasurement() [1/2]

template<typename StateT >

autoware::prediction::LinearMeasurement< StateT >::LinearMeasurement ( )

default

Default constructor.

◆ LinearMeasurement() [2/2]

template<typename StateT >

autoware::prediction::LinearMeasurement< StateT >::LinearMeasurement	(	const typename StateT::Vector &	measurement,
		const typename StateT::Vector &	variances
	)

inlineexplicit

Construct a new instance of the measurement from a state vector.

Parameters

[in]	measurement	The measurement
[in]	variances	The variances

Member Function Documentation

◆ crtp_covariance() [1/2]

template<typename StateT >

StateT::Matrix& autoware::prediction::LinearMeasurement< StateT >::crtp_covariance ( )

inlineprotectednoexcept

Get covariance function that is to be called by the CRTP interface.

◆ crtp_covariance() [2/2]

template<typename StateT >

const StateT::Matrix& autoware::prediction::LinearMeasurement< StateT >::crtp_covariance ( ) const

inlineprotectednoexcept

Get covariance function that is to be called by the CRTP interface.

◆ crtp_create_new_instance_from()

template<typename StateT >

template<typename OtherStateT >

StateT autoware::prediction::LinearMeasurement< StateT >::crtp_create_new_instance_from ( const OtherStateT & other_state ) const

inlineprotected

Create a new instance of the measurement from another state.

This is a linear measurement, i.e., it directly observes the variables of another state, thus this mapping function is linear and just copied values for the matching variables in both states.

Note: It is expected that the measurement StateT is a direct sub-state of the OtherStateT.

Parameters

[in] other_state The other state

Template Parameters

OtherStateT State to which we map the internal state StateT.

Returns: A vector that represents a mapping of another state to this measurement's frame.

◆ crtp_map_into()

template<typename StateT >

template<typename OtherStateT >

OtherStateT autoware::prediction::LinearMeasurement< StateT >::crtp_map_into ( const OtherStateT & other_state ) const

inlineprotectednoexcept

Copy this measurement into another state space.

Note: Values present in other_state but not in this measurement will stay intact.

Parameters

[in] other_state The other state

Template Parameters

OtherStateT State to which we map the internal state StateT.

Returns: A vector that represents a mapping of another state to this measurement's frame.

◆ crtp_mapping_matrix_from()

template<typename StateT >

template<typename OtherStateT >

MappingMatrixFrom<OtherStateT> autoware::prediction::LinearMeasurement< StateT >::crtp_mapping_matrix_from ( const OtherStateT & ) const

inlineprotected

Get the mapping matrix between the two states called by the CRTP interface.

As this is a linear measurement (one that directly measures variables of some state) this function only fills the entries of the mapping matrix with 1s and 0s.

Note: The OtherStateT input parameter is not used in this implementation. It is required for other implementation that must map into the measurement state space in a non-linear way.

Template Parameters

OtherStateT State to which we map the internal state StateT.

Returns: A matrix M, such that other_state = M * this_state.

◆ crtp_state() [1/2]

template<typename StateT >

StateT& autoware::prediction::LinearMeasurement< StateT >::crtp_state ( )

inlineprotectednoexcept

Get state vector function that is to be called by the CRTP interface.

◆ crtp_state() [2/2]

template<typename StateT >

const StateT& autoware::prediction::LinearMeasurement< StateT >::crtp_state ( ) const

inlineprotectednoexcept

Get state vector function that is to be called by the CRTP interface.

◆ crtp_variances() [1/2]

template<typename StateT >

StateT::Vector& autoware::prediction::LinearMeasurement< StateT >::crtp_variances ( )

inlineprotectednoexcept

Get variances function that is to be called by the CRTP interface.

◆ crtp_variances() [2/2]

template<typename StateT >

const StateT::Vector& autoware::prediction::LinearMeasurement< StateT >::crtp_variances ( ) const

inlineprotectednoexcept

Get variances function that is to be called by the CRTP interface.

Friends And Related Function Documentation

◆ operator==

template<typename StateT >

bool operator==	(	const LinearMeasurement< StateT > &	lhs,
		const LinearMeasurement< StateT > &	rhs
	)

friend

An equality operator.

Member Data Documentation

◆ MeasurementInterface< LinearMeasurement< StateT > >

template<typename StateT >

friend autoware::prediction::LinearMeasurement< StateT >::MeasurementInterface< LinearMeasurement< StateT > >

protected

The documentation for this class was generated from the following file:

linear_measurement.hpp

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Friends

Detailed Description

template<typename StateT> class autoware::prediction::LinearMeasurement< StateT >

Member Typedef Documentation

◆ State

Constructor & Destructor Documentation

◆ LinearMeasurement() [1/2]

◆ LinearMeasurement() [2/2]

Member Function Documentation

◆ crtp_covariance() [1/2]

◆ crtp_covariance() [2/2]

◆ crtp_create_new_instance_from()

◆ crtp_map_into()

◆ crtp_mapping_matrix_from()

◆ crtp_state() [1/2]

◆ crtp_state() [2/2]

◆ crtp_variances() [1/2]

◆ crtp_variances() [2/2]

Friends And Related Function Documentation

◆ operator==

Member Data Documentation

◆ MeasurementInterface< LinearMeasurement< StateT > >

template<typename StateT>
class autoware::prediction::LinearMeasurement< StateT >