示例#1
0
 ////////////////////////////////////////////////////////////////////////////////
 // cloud_cb (!)
 void cloud_cb (const sensor_msgs::PointCloud2ConstPtr& pc)
 {
   pcl::PointCloud<pcl::PointXYZ> cloud_in;
   pcl::PointCloud<pcl::PointXYZ> output;
   pcl::PointCloud<pcl::PointXYZ> output_filtered;
   pcl::fromROSMsg(*pc, cloud_in);
   
   if (counter_ == 0)
   {
     ROS_INFO("Setting input cloud with %ld points", cloud_in.points.size());
     seg_.setInputCloud (boost::make_shared<pcl::PointCloud<pcl::PointXYZ> >(cloud_in));
     counter_++;
   }
   else
   {
     ROS_INFO("Setting target cloud with %ld points", cloud_in.points.size());
     seg_.setTargetCloud(boost::make_shared<pcl::PointCloud<pcl::PointXYZ> >(cloud_in));
     seg_.segment (output);
     counter_ = 0;
     ROS_INFO("Publishing difference cloud with %ld points", output.points.size());
     pub_diff_.publish (output);
     outrem_.setInputCloud (boost::make_shared<pcl::PointCloud<pcl::PointXYZ> >(output));
     outrem_.setRadiusSearch (0.02);
     outrem_.setMinNeighborsInRadius (15);
     outrem_.filter (output_filtered);
     pub_filtered_.publish (output_filtered);
   }
 }
 CloudPublisher()
   : tf_frame("/base_link"),
     private_nh("~")
 {
   cloud_topic = "cloud";
   pub.advertise(nh, cloud_topic.c_str(), 1);
   private_nh.param("frame_id", tf_frame, std::string("/base_link"));
   ROS_INFO_STREAM("Publishing data on topic \"" << nh.resolveName(cloud_topic) << "\" with frame_id \"" << tf_frame << "\"");
 }
示例#3
0
  SegmentDifferencesNode  (ros::NodeHandle &n) : nh_(n)
  {
    // Maximum number of outgoing messages to be queued for delivery to subscribers = 1
    nh_.param("input_cloud_topic", input_cloud_topic_, std::string("/cloud_pcd"));
    nh_.param("output_cloud_topic", output_cloud_topic_, std::string("difference"));
    nh_.param("output_filtered_cloud_topic", output_filtered_cloud_topic_, std::string("difference_filtered"));
    nh_.param("distance_threshold", distance_threshold_, 0.0005);
    ROS_INFO ("Distance threshold set to %lf.", distance_threshold_);
    pub_diff_.advertise (nh_, output_cloud_topic_.c_str (), 1);
    ROS_INFO ("Publishing data on topic %s.", nh_.resolveName (output_cloud_topic_).c_str ());
    pub_filtered_.advertise (nh_, output_filtered_cloud_topic_.c_str (), 1);
    ROS_INFO ("Publishing data on topic %s.", nh_.resolveName (output_filtered_cloud_topic_).c_str ());

    sub_.subscribe (nh_, input_cloud_topic_, 1,  boost::bind (&SegmentDifferencesNode::cloud_cb, this, _1));
    ROS_INFO ("Listening for incoming data on topic %s", nh_.resolveName (input_cloud_topic_).c_str ());
    //set PCL classes
    seg_.setDistanceThreshold (distance_threshold_);
    
    rate_ = 1;
    counter_ = 0;
  }
  bool spin ()
  {
    int nr_points = cloud.width * cloud.height;
    std::string fields_list = pcl::getFieldsList(cloud);
    ros::Rate r(ros::Duration(1,0)); //1s tact

    while(nh.ok ())
    {
      ROS_DEBUG_STREAM_ONCE("Publishing data with " << nr_points
                            << " points " << fields_list
                            << " on topic \"" << nh.resolveName(cloud_topic)
                            << "\" in frame \"" << cloud.header.frame_id << "\"");
      cloud.header.stamp = ros::Time::now();
      pub.publish(cloud);

      r.sleep();
    }
    return (true);
  }