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Autoware.Auto
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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... | |
| struct | PointXYZI |
| Simple point struct for memory mapping to and from PointCloud2 type. More... | |
| class | PointXYZII |
| 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< PointXYZII > |
| using | Clusters = autoware_auto_msgs::msg::PointClusters |
| using | Cluster = decltype(Clusters::clusters)::value_type |
Supporting classes for euclidean clustering, an object detection algorithm.
| using autoware::perception::segmentation::euclidean_cluster::Cluster = typedef decltype(Clusters::clusters)::value_type |
| using autoware::perception::segmentation::euclidean_cluster::Clusters = typedef autoware_auto_msgs::msg::PointClusters |
| using autoware::perception::segmentation::euclidean_cluster::Hash = typedef autoware::common::geometry::spatial_hash::SpatialHash2d<PointXYZII> |