lidar_scanner_node.cpp

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// Original Author of FLOAM: Wang Han 
// Email wh200720041@gmail.com
// Homepage https://wanghan.pro
 
#include <cmath>
#include <vector>
#include <mutex>
#include <queue>
#include <thread>
#include <chrono>
 
//ros lib
#include <ros/ros.h>
#include <sensor_msgs/Imu.h>
#include <sensor_msgs/PointCloud2.h>
#include <nav_msgs/Odometry.h>
#include <tf2_ros/transform_listener.h>
#include <tf/transform_datatypes.h>
#include <tf/transform_broadcaster.h>
#include <pcl_ros/transforms.h>
 
//pcl lib
#include <pcl_conversions/pcl_conversions.h>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <pcl/filters/filter.h>
#include <pcl/filters/conditional_removal.h>
 
//local lib
#include "floam/lidar_scanner_node.hpp"
#include "floam/lidar.hpp"
#include "floam/lidar_utils.hpp"
 
namespace floam
{
namespace lidar
{
 
ScanningLidarNode::ScanningLidarNode()
: m_tf2Listener(m_tf2Buffer)
{
  // constructor
}
 
ScanningLidarNode::~ScanningLidarNode()
{
  // destructor
}
 
void ScanningLidarNode::onInit()
{
    m_nodeHandle = getPrivateNodeHandle();
    // defaults
    std::string points_topic = "points";
    // frameId has to already be published and be connected to your lidar's frame_id
    std::string frameId = "base_link";
    int scan_lines = 64;
    double vertical_angle = 2.0;
    double horizontal_angle = 360.0;
    double scan_period= 0.1;
    double max_dis = 60.0;
    double min_dis = 2.0;
    double edgeThreshold = 0.05;
    int skipPoints = 25;
    int searchK = 10;
    double searchRadius = 0.25;
 
    m_nodeHandle.getParam("points_topic", points_topic);
    m_nodeHandle.getParam("scan_period", scan_period);
    m_nodeHandle.getParam("vertical_angle", vertical_angle);
    m_nodeHandle.getParam("horizontal_angle", horizontal_angle);
    m_nodeHandle.getParam("max_dis", max_dis);
    m_nodeHandle.getParam("min_dis", min_dis);
    m_nodeHandle.getParam("scan_lines", scan_lines);
    m_nodeHandle.getParam("edge_threshold", edgeThreshold);
    m_nodeHandle.getParam("skip_points", skipPoints);
    m_nodeHandle.getParam("search_radius", searchRadius);
    m_nodeHandle.getParam("search_k", searchK);
    m_nodeHandle.getParam("frame_id", frameId);
 
    m_lidar.m_settings.period = scan_period;
    m_lidar.m_settings.lines = scan_lines;
    m_lidar.m_settings.skipPoints = skipPoints;
    m_lidar.m_settings.searchK = searchK;
    m_lidar.m_settings.searchRadius = searchRadius;
    m_lidar.m_settings.common.frameId = frameId;
    m_lidar.m_settings.common.limits.edgeThreshold = edgeThreshold;
    m_lidar.m_settings.common.fov.vertical = vertical_angle;
    m_lidar.m_settings.common.fov.horizontal = horizontal_angle;
    m_lidar.m_settings.common.limits.distance.max = max_dis;
    m_lidar.m_settings.common.limits.distance.min = min_dis;
 
    m_subPoints = m_nodeHandle.subscribe(points_topic, 100, &ScanningLidarNode::handlePoints, this);
 
    m_pubEdgePoints = m_nodeHandle.advertise<sensor_msgs::PointCloud2>("points_edge", 100);
    m_pubSurfacePoints = m_nodeHandle.advertise<sensor_msgs::PointCloud2>("points_surface", 100); 
    m_pubEdgesAndSurfaces = m_nodeHandle.advertise<sensor_msgs::PointCloud2>("points_filtered", 100); 
}
 
void ScanningLidarNode::handlePoints(const sensor_msgs::PointCloud2ConstPtr & points)
{
  // convert msg to pcl format, only XYZ and remove NaN points
  pcl::PointCloud<pcl::PointXYZ>::Ptr cloudWithNaN(new pcl::PointCloud<pcl::PointXYZ>());
  pcl::PointCloud<pcl::PointXYZ>::Ptr cloudTransformed(new pcl::PointCloud<pcl::PointXYZ>());
  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>());
  pcl::fromROSMsg(*points, *cloudWithNaN);
 
  // geometry_msgs::TransformStamped transformStamped;
  // transformStamped = m_tf2Buffer.lookupTransform(
  //   m_lidar.m_settings.common.frameId,
  //   points->header.frame_id,
  //   ros::Time(0));
  // transform pointclouds to new coordinate frame
  // pcl_ros::transformPointCloud<pcl::PointXYZ>(*cloudWithNaN, *cloudTransformed, transformStamped.transform);
  
  std::vector<int> indices;
  pcl::removeNaNFromPointCloud(*cloudWithNaN, *cloud, indices);
 
  // initialize timers to calculate how long the processing takes
  std::chrono::time_point<std::chrono::system_clock> start, end;
  start = std::chrono::system_clock::now();
 
  // initialize edge and surface clouds
  pcl::PointCloud<pcl::PointXYZL>::Ptr edgesAndSurfaces(new pcl::PointCloud<pcl::PointXYZL>());          
  pcl::PointCloud<pcl::PointXYZL>::Ptr surfaces(new pcl::PointCloud<pcl::PointXYZL>());
  pcl::PointCloud<pcl::PointXYZL>::Ptr edges(new pcl::PointCloud<pcl::PointXYZL>());
 
  // for scanners, edge pointcloud should also include surface information
  m_lidar.detectEdges(cloud, edgesAndSurfaces);
  
  // separate edge cloud into edge and surface clouds
  auto edge_cond = pcl::make_shared<floam::lidar::GenericCondition<pcl::PointXYZL>>(
    [](const pcl::PointXYZL & point) {
      return point.label > 0;
    }
  );
 
  auto surface_cond = pcl::make_shared<floam::lidar::GenericCondition<pcl::PointXYZL>>(
    [](const pcl::PointXYZL & point) {
      return point.label == 0;
    }
  );
 
  // remove surfaces to get edges
  pcl::ConditionalRemoval<pcl::PointXYZL> surface_removal;
  pcl::ConditionalRemoval<pcl::PointXYZL> edge_removal;
 
  surface_removal.setCondition(edge_cond);
  surface_removal.setInputCloud(edgesAndSurfaces);
  surface_removal.filter(*edges);
 
  edge_removal.setCondition(surface_cond);
  edge_removal.setInputCloud(edgesAndSurfaces);
  edge_removal.filter(*surfaces);
 
  std::vector <pcl::PointIndices> labelIndices;
 
  // end processing time
  end = std::chrono::system_clock::now();
  std::chrono::duration<float> elapsed_seconds = end - start;
 
  // increment total frame counter
  m_lidar.m_total.frames++;
  // add time to total time
  float time_temp = elapsed_seconds.count() * 1000;
  m_lidar.m_total.time += time_temp;
  // ROS_INFO("average lidar processing time %f ms", m_lidar.m_total.time / m_lidar.m_total.frames);
 
  // TODO(flynneva): transform pointclouds to new coordinate frame?
  // convert edge pcl to ROS message
  sensor_msgs::PointCloud2 edgeMsg;
  pcl::toROSMsg(*edges, edgeMsg);
 
  // convert surface pcl to ROS message
  sensor_msgs::PointCloud2 surfaceMsg;
  pcl::toROSMsg(*surfaces, surfaceMsg);
 
  // convert edges and surfaces pcl to ROS message
  sensor_msgs::PointCloud2 edgeAndSurfaceMsg;
  pcl::toROSMsg(*edgesAndSurfaces, edgeAndSurfaceMsg);
 
  // set header timestamp same as input pointcloud
  edgeMsg.header = points->header;
  surfaceMsg.header = points->header;
  edgeAndSurfaceMsg.header = points->header;
 
  // set new frame_id
  std::string floamLidarFrame = m_lidar.m_settings.common.frameId;
  edgeMsg.header.frame_id = floamLidarFrame;
  surfaceMsg.header.frame_id = floamLidarFrame;
  edgeAndSurfaceMsg.header.frame_id = floamLidarFrame;
 
  // publish filtered, edge and surface clouds
  m_pubEdgePoints.publish(edgeMsg);
  m_pubSurfacePoints.publish(surfaceMsg);
  m_pubEdgesAndSurfaces.publish(edgeAndSurfaceMsg);
}
 
}  // namespace lidar
}  // namespace floam
 
#include <pluginlib/class_list_macros.h>  // NO LINT
PLUGINLIB_EXPORT_CLASS(floam::lidar::ScanningLidarNode, nodelet::Nodelet)