laser_processor.h

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#ifndef LEG_DETECTOR_LASER_PROCESSOR_H
#define LEG_DETECTOR_LASER_PROCESSOR_H

#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>

namespace laser_processor
{
class Sample
{
public:
  int   index;
  float range;
  float intensity;
  float x;
  float y;

  static Sample* Extract(int ind, const sensor_msgs::LaserScan& scan);

private:
  Sample() {}
};

struct CompareSample
{
  CompareSample() {}

  inline bool operator()(const Sample* a, const Sample* b)
  {
    return (a->index <  b->index);
  }
};


class SampleSet : public std::set<Sample*, CompareSample>
{
public:
  SampleSet() {}

  ~SampleSet()
  {
    clear();
  }

  void clear();

  void appendToCloud(sensor_msgs::PointCloud& cloud, int r = 0, int g = 0, int b = 0);

  tf::Point center();
};

class ScanMask
{
  SampleSet mask_;

  bool     filled;
  float    angle_min;
  float    angle_max;
  uint32_t size;

public:
  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_;
  }

  ScanProcessor(const sensor_msgs::LaserScan& scan, ScanMask& mask_, float mask_threshold = 0.03);

  ~ScanProcessor();

  void removeLessThan(uint32_t num);

  void splitConnected(float thresh);
};
};  // namespace laser_processor

#endif  // LEG_DETECTOR_LASER_PROCESSOR_H