sick_ldmrs_all_layer_assembler.cpp

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/*
 * Copyright (C) 2016, DFKI GmbH
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of DFKI GmbH nor the names of its
 *       contributors may be used to endorse or promote products derived from
 *       this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 * POSSIBILITY OF SUCH DAMAGE.
 *
 *      Authors:
 *         Martin Günther <martin.guenther@dfki.de>
 *         Jochen Sprickerhof <ros@jochen.sprickerhof.de>
 *
 */
 
#include <ros/ros.h>
 
#include <tf/transform_listener.h>
#include <tf/message_filter.h>
#include <message_filters/subscriber.h>
 
#include <pcl_conversions/pcl_conversions.h>
 
#include <sensor_msgs/PointCloud2.h>
#include <sick_ldmrs_msgs/sick_ldmrs_point_type.h>
#include <pcl/point_cloud.h>
 
#include <pcl_ros/transforms.h>
#include <pcl_ros/impl/transforms.hpp>   // necessary because of custom point type
 
typedef sick_ldmrs_msgs::SICK_LDMRS_Point PointT;
typedef pcl::PointCloud<PointT> PointCloudT;
 
tf::TransformListener* tf_;
ros::Publisher pub_;
 
std::string fixed_frame_;
 
PointCloudT::Ptr cloud_lower_ = pcl::make_shared<PointCloudT>();
 
void callback(const sensor_msgs::PointCloud2::ConstPtr& pc)
{
  PointCloudT::Ptr cloud = pcl::make_shared<PointCloudT>();
  pcl::fromROSMsg(*pc, *cloud);
 
  // ----- transform to fixed frame
  try
  {
    PointCloudT::Ptr cloud_fixed = pcl::make_shared<PointCloudT>();
 
    if (!pcl_ros::transformPointCloud(fixed_frame_, *cloud, *cloud_fixed, *tf_))
    {
      ROS_WARN("TF exception in transformPointCloud!");
      cloud_lower_.reset();
      return ;
    }
    cloud = cloud_fixed;
  }
  catch (tf::TransformException& ex)
  {
    ROS_WARN("TF Exception %s", ex.what());
    cloud_lower_.reset();
    return ;
  }
 
  // ----- check that we have both clouds (for lower + upper layers)
  if (cloud->size() == 0)
    return;
 
  if (cloud->at(0).layer < 4)
  {
    cloud_lower_ = cloud;
    return;   // wait for upper 4 layer cloud
  }
  else if (!cloud_lower_)
  {
    return;   // wait for lower 4 layer cloud first
  }
 
  // ----- concatenate lower + upper clouds
  *cloud_lower_ += *cloud;
 
  // ----- publish
  sensor_msgs::PointCloud2::Ptr msg = boost::make_shared<sensor_msgs::PointCloud2>();
  pcl::toROSMsg(*cloud_lower_, *msg);
  msg->header.stamp = pc->header.stamp;
  msg->header.frame_id = fixed_frame_;
  pub_.publish(msg);
 
  cloud_lower_.reset();
}
 
int main(int argc, char **argv)
{
  ros::init(argc, argv, "sick_ldmrs_all_layer_assembler");
  ros::NodeHandle nh;
  ros::NodeHandle private_nh("~");
 
  if (!private_nh.getParam("fixed_frame", fixed_frame_))
  {
    ROS_FATAL("Need to set parameter fixed_frame");
    return 1;
  }
 
  tf_ = new tf::TransformListener(nh, ros::Duration(3.0));
 
  message_filters::Subscriber<sensor_msgs::PointCloud2> sub;
  tf::MessageFilter<sensor_msgs::PointCloud2>* tf_filter;
 
  sub.subscribe(nh, "cloud", 10);
  tf_filter = new tf::MessageFilter<sensor_msgs::PointCloud2>(sub, *tf_, fixed_frame_, 10);
  tf_filter->registerCallback(boost::bind(callback, boost::placeholders::_1));
 
  pub_ = nh.advertise<sensor_msgs::PointCloud2>("all_layers", 10);
 
  ros::spin();
 
  delete tf_filter;
  delete tf_;
 
  return 0;
}