dynamic_obstacle_tracking
detectes and track dynamic obstacles in pointcloud
Classes | Namespaces | Macros
dynamic_obstacle_tracking.hpp File Reference
#include <ros/ros.h>
#include <visualization_msgs/Marker.h>
#include <visualization_msgs/MarkerArray.h>
#include <sensor_msgs/PointCloud2.h>
#include <nav_msgs/Odometry.h>
#include <geometry_msgs/PoseArray.h>
#include <geometry_msgs/Pose.h>
#include <dynamic_reconfigure/server.h>
#include <pcl_conversions/pcl_conversions.h>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <pcl/common/transforms.h>
#include <pcl/common/common.h>
#include <Eigen/Dense>
#include <Eigen/Geometry>
#include <math.h>
#include <tf/LinearMath/Matrix3x3.h>
#include <tf/transform_datatypes.h>
#include <tf/transform_listener.h>
#include <tf/transform_broadcaster.h>
#include "tf_conversions/tf_eigen.h"
#include <pcl/filters/passthrough.h>
#include <pcl/registration/icp.h>
#include <pcl/filters/voxel_grid.h>
#include <pcl/filters/approximate_voxel_grid.h>
#include <pcl/filters/statistical_outlier_removal.h>
#include <pcl/features/normal_3d.h>
#include <pcl/kdtree/kdtree.h>
#include <pcl/segmentation/extract_clusters.h>
#include <pcl/octree/octree_impl.h>
#include <pcl/octree/octree.h>
#include <pcl/octree/octree_key.h>
#include <pcl/octree/octree_pointcloud_adjacency.h>
#include <pcl/sample_consensus/method_types.h>
#include <pcl/sample_consensus/model_types.h>
#include <pcl/segmentation/sac_segmentation.h>
#include <pcl/ModelCoefficients.h>
#include <pcl/filters/extract_indices.h>
#include <ctime>

Go to the source code of this file.

Classes

struct  datmo::Float3
 
class  datmo::cloud_segmentation
 

Namespaces

 datmo
 

Macros

#define PI   3.14159265
 
#define SQR(a)   ((a)*(a))
 

Macro Definition Documentation

◆ PI

#define PI   3.14159265

◆ SQR

#define SQR (   a)    ((a)*(a))