greenhouse/pointcloud_to_laserscan/src/pointcloud_to_laserscan_nodelet.cpp

/*
 * Software License Agreement (BSD License)
 *
 *  Copyright (c) 2010-2012, Willow Garage, Inc.
 *  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 Willow Garage, Inc. 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.
 *
 *
 */

/*
 * Author: Paul Bovbel
 */

#include <pointcloud_to_laserscan/pointcloud_to_laserscan_nodelet.h>
#include <sensor_msgs/LaserScan.h>
#include <pluginlib/class_list_macros.h>
#include <sensor_msgs/point_cloud2_iterator.h>
#include <tf2_sensor_msgs/tf2_sensor_msgs.h>

namespace pointcloud_to_laserscan
{

  PointCloudToLaserScanNodelet::PointCloudToLaserScanNodelet()
      : tf2_(), tf2_listener_(tf2_)
  { }


  void PointCloudToLaserScanNodelet::onInit()
  {
    nh_ = getMTNodeHandle();
    private_nh_ = getMTPrivateNodeHandle();

    private_nh_.param<std::string>("target_frame", target_frame_, "");
    private_nh_.param<double>("tolerance", tolerance_, 0.01);
    private_nh_.param<double>("min_height", min_height_, 0.0);
    private_nh_.param<double>("max_height", max_height_, 1.0);

    private_nh_.param<double>("angle_min", angle_min_, -M_PI/2.0);
    private_nh_.param<double>("angle_max", angle_max_, M_PI/2.0);
    private_nh_.param<double>("angle_increment", angle_increment_, M_PI/360.0);
    private_nh_.param<double>("scan_time", scan_time_, 1.0/30.0);
    private_nh_.param<double>("range_min", range_min_, 0.45);
    private_nh_.param<double>("range_max", range_max_, 4.0);

    int concurrency_level;
    private_nh_.param<int>("concurrency_level", concurrency_level, true);
    private_nh_.param<bool>("use_inf", use_inf_, true);

    boost::mutex::scoped_lock lock(connect_mutex_);

    // Only queue one pointcloud per running thread
    if(concurrency_level > 0)
    {
      input_queue_size_ = concurrency_level;
    }else{
      input_queue_size_ = boost::thread::hardware_concurrency();
    }

    pub_ = nh_.advertise<sensor_msgs::LaserScan>("scan", 10,
        boost::bind(&PointCloudToLaserScanNodelet::connectCb, this),
        boost::bind(&PointCloudToLaserScanNodelet::disconnectCb, this));
  }

  void PointCloudToLaserScanNodelet::connectCb()
  {
    boost::mutex::scoped_lock lock(connect_mutex_);
    if (!sub_ && pub_.getNumSubscribers() > 0) {
      NODELET_INFO("Got a subscriber to scan, starting subscriber to pointcloud");
      sub_.reset(new FilteredSub(nh_, "cloud_in", input_queue_size_));
      if(!target_frame_.empty())
      {
        message_filter_.reset(new MessageFilter(*sub_, tf2_, target_frame_, input_queue_size_, nh_));
        message_filter_->setTolerance(ros::Duration(tolerance_));
        message_filter_->registerCallback(boost::bind(&PointCloudToLaserScanNodelet::cloudCb, this, _1));
        message_filter_->registerFailureCallback(boost::bind(&PointCloudToLaserScanNodelet::failureCb, this, _1, _2));
      }else{
        sub_->registerCallback(boost::bind(&PointCloudToLaserScanNodelet::cloudCb, this, _1));
      }
    }
  }

  void PointCloudToLaserScanNodelet::failureCb(const sensor_msgs::PointCloud2ConstPtr &cloud_msg,
      tf2_ros::filter_failure_reasons::FilterFailureReason reason){
    NODELET_WARN_STREAM_THROTTLE(3.0, "Can't transform pointcloud from frame " << cloud_msg->header.frame_id << " to "
        << message_filter_->getTargetFramesString() << " with tolerance " << tolerance_);
  }

  void PointCloudToLaserScanNodelet::disconnectCb()
  {
    boost::mutex::scoped_lock lock(connect_mutex_);
    if (pub_.getNumSubscribers() == 0) {
      NODELET_INFO("No subscibers to scan, shutting down subscriber to pointcloud");
      if(!target_frame_.empty())
      {
        message_filter_.reset();
      }
      sub_.reset();
    }
  }

  void PointCloudToLaserScanNodelet::cloudCb(const sensor_msgs::PointCloud2ConstPtr &cloud_msg)
  {
    if(target_frame_.empty()){
      target_frame_ = cloud_msg->header.frame_id;
    }

    //build laserscan output
    sensor_msgs::LaserScan output;
    output.header = cloud_msg->header;
    output.header.frame_id = target_frame_;
    output.angle_min = angle_min_;
    output.angle_max = angle_max_;
    output.angle_increment = angle_increment_;
    output.time_increment = 0.0;
    output.scan_time = scan_time_;
    output.range_min = range_min_;
    output.range_max = range_max_;

    //determine amount of rays to create
    uint32_t ranges_size = std::ceil((output.angle_max - output.angle_min) / output.angle_increment);

    //determine if laserscan rays with no obstacle data will evaluate to infinity or max_range
    if(use_inf_){
      output.ranges.assign(ranges_size, std::numeric_limits<double>::infinity());
    }else{
      output.ranges.assign(ranges_size, output.range_max + 1.0);
    }

    sensor_msgs::PointCloud2ConstPtr cloud_out;
    sensor_msgs::PointCloud2Ptr cloud;

    // Transform cloud if necessary
    if(!(output.header.frame_id == cloud_msg->header.frame_id))
    {
      try
      {
        cloud.reset(new sensor_msgs::PointCloud2);
        tf2_.transform(*cloud_msg, *cloud, target_frame_, ros::Duration(tolerance_));
        cloud_out = cloud;
      }
      catch (tf2::TransformException ex)
      {
        NODELET_ERROR_STREAM("Transform failure: " << ex.what());
        return;
      }
    }else{
      cloud_out = cloud_msg;
    }

    // Iterate through pointcloud
    sensor_msgs::PointCloud2ConstIterator<double> iter_x(*cloud_out, "x");
    sensor_msgs::PointCloud2ConstIterator<double> iter_y(*cloud_out, "y");
    sensor_msgs::PointCloud2ConstIterator<double> iter_z(*cloud_out, "z");

    for(; iter_x != iter_x.end(); ++iter_x, ++iter_y, ++iter_z){

      if ( std::isnan(*iter_x) || std::isnan(*iter_y) || std::isnan(*iter_z) ){
        NODELET_DEBUG("rejected for nan in point(%f, %f, %f)\n", *iter_x, *iter_y, *iter_z);
        continue;
      }

      if (*iter_z > max_height_ || *iter_z < min_height_){
        NODELET_DEBUG("rejected for height %f not in range (%f, %f)\n", *iter_z, min_height_, max_height_);
        continue;
      }

      double range = hypot(*iter_x,*iter_y);
      if (range < range_min_){
        NODELET_DEBUG("rejected for range %f below minimum value %f. Point: (%f, %f, %f)", range, range_min_, *iter_x, *iter_y,
            *iter_z);
        continue;
      }

      double angle = atan2(*iter_y, *iter_x);
      if (angle < output.angle_min || angle > output.angle_max){
        NODELET_DEBUG("rejected for angle %f not in range (%f, %f)\n", angle, output.angle_min, output.angle_max);
        continue;
      }

      //overwrite range at laserscan ray if new range is smaller
      int index = (angle - output.angle_min) / output.angle_increment;
      if (range < output.ranges[index]){
        output.ranges[index] = range;
      }

    }
    pub_.publish(output);
  }

}

PLUGINLIB_DECLARE_CLASS(pointcloud_to_laserscan, PointCloudToLaserScanNodelet, pointcloud_to_laserscan::PointCloudToLaserScanNodelet, nodelet::Nodelet);