Pulling laser processing out of laser geomtry for 0.9.0 release.

git-svn-id: https://code.ros.org/svn/ros-pkg/stacks/laser_pipeline/trunk@24513 eb33c2ac-9c88-4c90-87e0-44a10359b0c3
This commit is contained in:
Jeremy Leibs 2009-09-25 20:29:41 +00:00
parent 72f5987e54
commit 136cf0c3b8
4 changed files with 1 additions and 437 deletions

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@ -5,9 +5,6 @@ rospack(laser_geometry)
rospack_add_boost_directories()
#todo integrate this
rospack_add_library(laser_processor src/laser_processor.cpp)
rospack_add_library(laser_geometry src/laser_geometry.cpp )
rospack_link_boost(laser_geometry thread)

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@ -1,145 +0,0 @@
/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2008, 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 the Willow Garage 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.
*********************************************************************/
//! A namespace containing the laser processor helper classes
#ifndef LASER_SCAN_LASERPROCESSOR_HH
#define LASER_SCAN_LASERPROCESSOR_HH
#include <unistd.h>
#include <math.h>
#include "sensor_msgs/LaserScan.h"
#include "sensor_msgs/PointCloud.h"
#include "geometry_msgs/Point.h"
#include <list>
#include <set>
#include <vector>
#include <map>
#include <utility>
#include <algorithm>
#include "tf/transform_datatypes.h"
#warning laser_geometry/laser_processor.h has been deprecated
namespace laser_geometry
{
//! A struct representing a single sample from the laser.
class Sample
{
public:
int index;
float range;
float intensity;
float x;
float y;
__attribute__ ((deprecated)) static Sample* Extract(int ind, const sensor_msgs::LaserScan& scan);
private:
__attribute__ ((deprecated)) Sample() {};
};
//! The comparator allowing the creation of an ordered "SampleSet"
struct CompareSample
{
__attribute__ ((deprecated)) CompareSample() {}
inline bool operator() (const Sample* a, const Sample* b)
{
return (a->index < b->index);
}
};
//! An ordered set of Samples
class SampleSet : public std::set<Sample*, CompareSample>
{
public:
__attribute__ ((deprecated)) SampleSet() {}
~SampleSet() { clear(); }
void clear();
void appendToCloud(sensor_msgs::PointCloud& cloud, int r = 0, int g = 0, int b = 0);
tf::Point center();
};
//! A mask for filtering out Samples based on range
class ScanMask
{
SampleSet mask_;
bool filled;
float angle_min;
float angle_max;
uint32_t size;
public:
__attribute__ ((deprecated)) ScanMask() : filled(false), angle_min(0), angle_max(0), size(0) { }
inline void clear() { mask_.clear(); filled = false; }
void addScan(sensor_msgs::LaserScan& scan);
bool hasSample(Sample* s, float thresh);
};
class ScanProcessor
{
std::list<SampleSet*> clusters_;
sensor_msgs::LaserScan scan_;
public:
std::list<SampleSet*>& getClusters() { return clusters_; }
__attribute__ ((deprecated)) ScanProcessor(const sensor_msgs::LaserScan& scan, ScanMask& mask_, float mask_threshold = 0.03);
~ScanProcessor();
void removeLessThan(uint32_t num);
void splitConnected(float thresh);
};
};
#endif

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@ -17,6 +17,6 @@ scanners.
<depend package="tf"/>
<depend package="angles"/>
<export>
<cpp cflags="-I${prefix}/include -I${prefix}/msg/cpp" lflags="-Wl,-rpath,${prefix}/lib -L${prefix}/lib -llaser_geometry -llaser_processor"/>
<cpp cflags="-I${prefix}/include -I${prefix}/msg/cpp" lflags="-Wl,-rpath,${prefix}/lib -L${prefix}/lib -llaser_geometry"/>
</export>
</package>

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@ -1,288 +0,0 @@
/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2008, 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 the Willow Garage 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.
*********************************************************************/
#include "laser_geometry/laser_processor.h"
#include <stdexcept>
using namespace ros;
using namespace std;
using namespace laser_geometry;
Sample* Sample::Extract(int ind, const sensor_msgs::LaserScan& scan)
{
Sample* s = new Sample;
s->index = ind;
s->range = scan.ranges[ind];
s->intensity = scan.intensities[ind];
s->x = cos( scan.angle_min + ind*scan.angle_increment ) * s->range;
s->y = sin( scan.angle_min + ind*scan.angle_increment ) * s->range;
if (s->range > scan.range_min && s->range < scan.range_max)
return s;
else
{
delete s;
return NULL;
}
}
void SampleSet::clear()
{
for (SampleSet::iterator i = begin();
i != end();
i++)
{
delete (*i);
}
set<Sample*, CompareSample>::clear();
}
void SampleSet::appendToCloud(sensor_msgs::PointCloud& cloud, int r, int g, int b)
{
float color_val = 0;
int rgb = (r << 16) | (g << 8) | b;
color_val = *(float*)&(rgb);
for (iterator sample_iter = begin();
sample_iter != end();
sample_iter++)
{
geometry_msgs::Point32 point;
point.x = (*sample_iter)->x;
point.y = (*sample_iter)->y;
point.z = 0;
cloud.points.push_back(point);
if (cloud.channels[0].name == "rgb")
cloud.channels[0].values.push_back(color_val);
if (cloud.channels[0].name == "intensity")
cloud.channels[0].values.push_back((*sample_iter)->intensity);
}
}
tf::Point SampleSet::center()
{
float x_mean = 0.0;
float y_mean = 0.0;
for (iterator i = begin();
i != end();
i++)
{
x_mean += ((*i)->x)/size();
y_mean += ((*i)->y)/size();
}
return tf::Point (x_mean, y_mean, 0.0);
}
void ScanMask::addScan(sensor_msgs::LaserScan& scan)
{
if (!filled)
{
angle_min = scan.angle_min;
angle_max = scan.angle_max;
size = scan.ranges.size();
filled = true;
} else if (angle_min != scan.angle_min ||
angle_max != scan.angle_max ||
size != scan.ranges.size())
{
throw std::runtime_error("laser_scan::ScanMask::addScan: inconsistantly sized scans added to mask");
}
for (uint32_t i = 0; i < scan.ranges.size(); i++)
{
Sample* s = Sample::Extract(i, scan);
if (s != NULL)
{
SampleSet::iterator m = mask_.find(s);
if (m != mask_.end())
{
if ((*m)->range > s->range)
{
delete (*m);
mask_.erase(m);
mask_.insert(s);
} else {
delete s;
}
}
else
{
mask_.insert(s);
}
}
}
}
bool ScanMask::hasSample(Sample* s, float thresh)
{
if (s != NULL)
{
SampleSet::iterator m = mask_.find(s);
if ( m != mask_.end())
if (((*m)->range - thresh) < s->range)
return true;
}
return false;
}
ScanProcessor::ScanProcessor(const sensor_msgs::LaserScan& scan, ScanMask& mask_, float mask_threshold)
{
scan_ = scan;
SampleSet* cluster = new SampleSet;
for (uint32_t i = 0; i < scan.ranges.size(); i++)
{
Sample* s = Sample::Extract(i, scan);
if (s != NULL)
{
if (!mask_.hasSample(s, mask_threshold))
{
cluster->insert(s);
} else {
delete s;
}
}
}
clusters_.push_back(cluster);
}
ScanProcessor::~ScanProcessor()
{
for ( list<SampleSet*>::iterator c = clusters_.begin();
c != clusters_.end();
c++)
delete (*c);
}
void
ScanProcessor::removeLessThan(uint32_t num)
{
list<SampleSet*>::iterator c_iter = clusters_.begin();
while (c_iter != clusters_.end())
{
if ( (*c_iter)->size() < num )
{
delete (*c_iter);
clusters_.erase(c_iter++);
} else {
++c_iter;
}
}
}
void
ScanProcessor::splitConnected(float thresh)
{
list<SampleSet*> tmp_clusters;
list<SampleSet*>::iterator c_iter = clusters_.begin();
// For each cluster
while (c_iter != clusters_.end())
{
// Go through the entire list
while ((*c_iter)->size() > 0 )
{
// Take the first element
SampleSet::iterator s_first = (*c_iter)->begin();
// Start a new queue
list<Sample*> sample_queue;
sample_queue.push_back(*s_first);
(*c_iter)->erase(s_first);
// Grow until we get to the end of the queue
list<Sample*>::iterator s_q = sample_queue.begin();
while (s_q != sample_queue.end())
{
int expand = (int)(asin( thresh / (*s_q)->range ) / scan_.angle_increment);
SampleSet::iterator s_rest = (*c_iter)->begin();
while ( (s_rest != (*c_iter)->end() &&
(*s_rest)->index < (*s_q)->index + expand ) )
{
if ( (*s_rest)->range - (*s_q)->range > thresh)
{
break;
}
else if (sqrt( pow( (*s_q)->x - (*s_rest)->x, 2.0f) + pow( (*s_q)->y - (*s_rest)->y, 2.0f)) < thresh)
{
sample_queue.push_back(*s_rest);
(*c_iter)->erase(s_rest++);
break;
} else {
++s_rest;
}
}
s_q++;
}
// Move all the samples into the new cluster
SampleSet* c = new SampleSet;
for (s_q = sample_queue.begin(); s_q != sample_queue.end(); s_q++)
c->insert(*s_q);
// Store the temporary clusters
tmp_clusters.push_back(c);
}
//Now that c_iter is empty, we can delete
delete (*c_iter);
//And remove from the map
clusters_.erase(c_iter++);
}
clusters_.insert(clusters_.begin(), tmp_clusters.begin(), tmp_clusters.end());
}