kalman_filter_wrapper.hpp File Reference

#include <common/types.hpp>
#include <kalman_filter/esrcf.hpp>
#include <motion_model/constant_acceleration.hpp>
#include <nav_msgs/msg/odometry.hpp>
#include <state_estimation_nodes/history.hpp>
#include <state_estimation_nodes/measurement.hpp>
#include <state_estimation_nodes/measurement_typedefs.hpp>
#include <state_estimation_nodes/steady_time_grid.hpp>
#include <state_estimation_nodes/visibility_control.hpp>
#include <Eigen/Core>
#include <Eigen/Geometry>
#include <limits>
#include <cstdint>
#include <memory>
#include <string>
#include <chrono>

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Classes
class	autoware::prediction::KalmanFilterWrapper< MotionModelT, kNumOfStates, kProcessNoiseDim >
	This class provides a high level interface to the Kalman Filter allowing to predict the state of the filter with time and observe it by receiving ROS messages. 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...

Typedefs
using	autoware::prediction::ConstantAccelerationFilter = KalmanFilterWrapper< motion::motion_model::ConstantAcceleration, 6, 2 >