This file defines the core algorithms for square root covariance filtering. More...

#include <common/types.hpp>
#include <kalman_filter/visibility_control.hpp>
#include <Eigen/Core>
#include <cmath>
#include <limits>

Include dependency graph for srcf_core.hpp:

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Classes
class	autoware::prediction::kalman_filter::SrcfCore< NumStates, ProcessNoiseDim >
	This class is an implementation of the carlson-schmidt temporal and observation update for the square root covariance filter. More...

Namespaces
	autoware
	This file defines the lanelet2_map_provider_node class.

	autoware::prediction
	Functionality relating to prediction, including state estimation, kinematic prediction, maneuver-based prediction, map-aware prediction etc...

	autoware::prediction::kalman_filter
	Contains the kalman filter package and related classes and functionality.

Typedefs
using	autoware::prediction::kalman_filter::index_t = Eigen::Index
	Type for matrix indexing. More...

Detailed Description

This file defines the core algorithms for square root covariance filtering.

Classes