autoware::perception::segmentation::euclidean

Supporting classes for euclidean clustering, an object detection algorithm. More...

Namespaces
	details
	Common euclidean cluster functions not intended for external use.

Classes
class	Config
	Configuration class for euclidean cluster In the future this can become a base class with subclasses defining different threshold functions. This configuration's threshold function currently assumes isotropy, and minor details in the clustering implementation also assume this property. More...

class	EuclideanCluster
	implementation of euclidean clustering for point cloud segmentation This clas implicitly projects points onto a 2D (x-y) plane, and segments according to euclidean distance. This can be thought of as a graph-based approach where points are vertices and edges are defined by euclidean distance The input to this should be nonground points pased through a voxel grid. More...

class	FilterConfig

struct	PointXYZI
	Simple point struct for memory mapping to and from PointCloud2 type. More...

class	PointXYZIR
	Helper point for which euclidean distance is computed only once. More...

Typedefs
using	HashConfig = autoware::common::geometry::spatial_hash::Config2d

using	Hash = autoware::common::geometry::spatial_hash::SpatialHash2d< PointXYZIR >

using	Clusters = autoware_auto_perception_msgs::msg::PointClusters

Detailed Description

Supporting classes for euclidean clustering, an object detection algorithm.

using autoware::perception::segmentation::euclidean_cluster::Clusters = typedef autoware_auto_perception_msgs::msg::PointClusters