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pointcloud_to_laserscan_nodelet.cpp
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/*
* 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() {}
void PointCloudToLaserScanNodelet::onInit()
{
boost::mutex::scoped_lock lock(connect_mutex_);
private_nh_ = getPrivateNodeHandle();
private_nh_.param<std::string>("target_frame", target_frame_, "");
private_nh_.param<double>("transform_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, 1);
private_nh_.param<bool>("use_inf", use_inf_, true);
//Check if explicitly single threaded, otherwise, let nodelet manager dictate thread pool size
if (concurrency_level == 1)
{
nh_ = getNodeHandle();
}
else
{
nh_ = getMTNodeHandle();
}
// Only queue one pointcloud per running thread
if (concurrency_level > 0)
{
input_queue_size_ = concurrency_level;
}
else
{
input_queue_size_ = boost::thread::hardware_concurrency();
}
// if pointcloud target frame specified, we need to filter by transform availability
if (!target_frame_.empty())
{
tf2_.reset(new tf2_ros::Buffer());
tf2_listener_.reset(new tf2_ros::TransformListener(*tf2_));
message_filter_.reset(new MessageFilter(sub_, *tf2_, target_frame_, input_queue_size_, nh_));
message_filter_->registerCallback(boost::bind(&PointCloudToLaserScanNodelet::cloudCb, this, _1));
message_filter_->registerFailureCallback(boost::bind(&PointCloudToLaserScanNodelet::failureCb, this, _1, _2));
}
else // otherwise setup direct subscription
{
sub_.registerCallback(boost::bind(&PointCloudToLaserScanNodelet::cloudCb, this, _1));
}
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 (pub_.getNumSubscribers() > 0 && sub_.getSubscriber().getNumPublishers() == 0)
{
NODELET_INFO("Got a subscriber to scan, starting subscriber to pointcloud");
sub_.subscribe(nh_, "cloud_in", input_queue_size_);
}
}
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");
sub_.unsubscribe();
}
}
void PointCloudToLaserScanNodelet::failureCb(const sensor_msgs::PointCloud2ConstPtr &cloud_msg,
tf2_ros::filter_failure_reasons::FilterFailureReason reason)
{
NODELET_WARN_STREAM_THROTTLE(1.0, "Can't transform pointcloud from frame " << cloud_msg->header.frame_id << " to "
<< message_filter_->getTargetFramesString());
}
void PointCloudToLaserScanNodelet::cloudCb(const sensor_msgs::PointCloud2ConstPtr &cloud_msg)
{
//build laserscan output
sensor_msgs::LaserScan output;
output.header = cloud_msg->header;
if (!target_frame_.empty())
{
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
for (sensor_msgs::PointCloud2ConstIterator<float>
iter_x(*cloud_out, "x"), iter_y(*cloud_out, "y"), iter_z(*cloud_out, "z");
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);