euclidean_cluster_node.hpp File Reference

This file defines the euclidean cluster algorithm for object detection. More...

#include <tf2_ros/transform_listener.h>
#include <tf2_ros/buffer.h>
#include <rclcpp/rclcpp.hpp>
#include <autoware_auto_perception_msgs/msg/point_clusters.hpp>
#include <geometry_msgs/msg/transform_stamped.hpp>
#include <euclidean_cluster_nodes/visibility_control.hpp>
#include <autoware_auto_perception_msgs/msg/bounding_box_array.hpp>
#include <autoware_auto_perception_msgs/msg/detected_objects.hpp>
#include <euclidean_cluster/euclidean_cluster.hpp>
#include <visualization_msgs/msg/marker_array.hpp>
#include <voxel_grid_nodes/algorithm/voxel_cloud_approximate.hpp>
#include <common/types.hpp>
#include <memory>
#include <string>

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Classes
class	autoware::perception::segmentation::euclidean_cluster_nodes::EuclideanClusterNode
	Combined object detection node, primarily does clustering, can also do in-place downsampling and bounding box formation. More...

Namespaces
	autoware
	This file defines the lanelet2_map_provider_node class.
	autoware::perception
	Perception related algorithms and functionality, such as those acting on 3D lidar data, camera data, radar, or ultrasonic information.
	autoware::perception::segmentation
	autoware::perception::segmentation::euclidean_cluster_nodes
	Main instantiation of algorithms in object detection stack.

Typedefs
using	autoware::perception::segmentation::euclidean_cluster_nodes::Clusters = euclidean_cluster::Clusters
using	autoware::perception::segmentation::euclidean_cluster_nodes::BoundingBox = autoware_auto_perception_msgs::msg::BoundingBox
using	autoware::perception::segmentation::euclidean_cluster_nodes::BoundingBoxArray = autoware_auto_perception_msgs::msg::BoundingBoxArray
using	autoware::perception::segmentation::euclidean_cluster_nodes::DetectedObjects = autoware_auto_perception_msgs::msg::DetectedObjects

Detailed Description

This file defines the euclidean cluster algorithm for object detection.