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laser_processor.cpp

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#include "laser_processor.h"

#include <stdexcept>

using namespace ros;
using namespace std;
using namespace laser_processor;

Sample* Sample::Extract(int ind, const sensor_msgs::LaserScan& scan)
{
  Sample* s = new Sample();

  s->index = ind;
  s->range = scan.ranges[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);
  }
}

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 Background::addScan(sensor_msgs::LaserScan& scan, float treshhold) // treshhold to know whether to merge them or to start from scrach
{
 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     ||  // min and max angles of the new scan have to be the same as previous
             angle_max != scan.angle_max     ||
             size      != scan.ranges.size())
  {
    throw std::runtime_error("laser_scan::Background::addScan: inconsistantly sized scans added to background");
  }

  for (uint32_t i = 0; i < scan.ranges.size(); i++)
  {
  
   Sample* s = Sample::Extract(i, scan);
   if (s != NULL)
    {
      s->scans = 1; // sets the number of scans 
      SampleSet::iterator m = backgr_data.find(s);
      if (m != backgr_data.end())  // there is such a scan 
      {
        if ( s->range > 29.8 || s->range < 0.1 || abs((*m)->range - s->range) > treshhold  )  // if the difference between the new sample and the old one is bigger then will it ignore the new one
        {
   
    //        printf ("laser_scan::Background::addScan: too much movement %f - ignoring the new scan \n",(*m)->range - s->range); 
            delete s;
    //      backgr_data.erase(m);  // delete the sample from the mask
    //      backgr_data.insert(s); // insert the new sample
        } else { // if the movement is within the treshhold then just re-adjust the center and the variation of the while preserving the old scan
      //    printf ("d:%f ", (*m)->range - s->range); 
           (*m)->range = (((*m)->range*(*m)->scans)+ s->range)/ (++((*m)->scans)); // aritmetic average
      //     printf ("r:%f ", (*m)->range); 
      //     printf ("s:%i ", (*m)->scans);
           (*m)->variation = ((*m)->range - s->range)/2+ (*m)->variation/2; // old variations are reduced in wegth
      //     printf ("v:%f ", (*m)->variation);
           delete s; 
        }
      }
      else if (s->range < 29.8 && s->range > 0.1) // if there is no such sample in the background found and the range makes sence just insert the new sample
      {
        backgr_data.insert(s);
      }  
     } 
  }

}


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     ||  // min and max angles of the new scan have to be the same as previous
             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())  // at least one such a sample in the mask is found
      {
        if ((*m)->range > s->range)  // if the sample(s) in the mask is further away  than the current sample replaces the sample in the mask to remove the background
        {
          delete (*m);
          mask_.erase(m);  // delete the sample from the mask
          mask_.insert(s); // insert the new sample
        } else {
          delete s; 
        }
      }
      else // if there is no such sample in the mask not found just insert the new sample
      {
        mask_.insert(s);
      }
    }
  }
}


bool Background::isSamplebelongstoBackgrond(Sample* s, float thresh)
{
  if (s != NULL)
  {
    SampleSet::iterator b = backgr_data.find(s); 
    if ( b != backgr_data.end())
      if ( (s-> range > 29.8) || ( ((*b)->range + abs((*b)->variation) + thresh > s->range) &&  ((*b)->range - abs((*b)->variation) - thresh < s->range) ) ) // in other words s-range between what we have in the background +- allowances
        return true;
  }

  return false;
}

bool ScanMask::hasSample(Sample* s, float thresh)
{
  if (s != NULL)
  {
    SampleSet::iterator m = mask_.find(s);
    if ( m != mask_.end())
      if ( s-> range > 29.8 || (((*m)->range - thresh) < s->range) )
        return true;
  }
  return false;
}



ScanProcessor::ScanProcessor(const sensor_msgs::LaserScan& scan, ScanMask& mask_, float mask_threshold) // constructor without background
{
  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(const sensor_msgs::LaserScan& scan, ScanMask& mask_, Background& background_ , float mask_threshold , float background_treshhold ) // constructor with background

{


scan_ = scan;

int ib= 0;
int im = 0;
int iboth = 0;
int ibnotim = 0;
int imnotib = 0;

  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) )
          im++;    // the sample is in the mask
     if (background_.isSamplebelongstoBackgrond(s, background_treshhold))
          ib++;    // the sample is in the background
  
      if (mask_.hasSample(s, mask_threshold) && background_.isSamplebelongstoBackgrond(s, background_treshhold))
          iboth++; // the sample is in both

      if (mask_.hasSample(s, mask_threshold) && !background_.isSamplebelongstoBackgrond(s, background_treshhold))
          imnotib++; // in the mask but not in the background

      if (!mask_.hasSample(s, mask_threshold) && background_.isSamplebelongstoBackgrond(s, background_treshhold))
          ibnotim++; // in background but not in the mask
     


      if (  !mask_.hasSample(s, mask_threshold)  && !background_.isSamplebelongstoBackgrond(s, background_treshhold)) 
      {
        cluster->insert(s);
      } else {
        delete s;
      }
    }
  
 //if ( ibnotim > 0)  //printing the results of the checks
 //  printf ("ib=%i, im=%i, iboth=%i, ibnotim=%i, imnotib=%i \n", ib, im, iboth, ibnotim, imnotib); // check for the work of the background and the mask filters
 }

  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)  // check whether to split
          {
            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()); // move back from temp clusters back into the clusters_
}

---

srs_leg_detector
Author(s): Alex Noyvirt
autogenerated on Tue Mar 5 23:58:12 2013