lidar_measurement_model_beam.h

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#ifndef MCL_3DL_LIDAR_MEASUREMENT_MODELS_LIDAR_MEASUREMENT_MODEL_BEAM_H
#define MCL_3DL_LIDAR_MEASUREMENT_MODELS_LIDAR_MEASUREMENT_MODEL_BEAM_H

#include <string>
#include <vector>

#include <ros/ros.h>

#include <pcl/point_types.h>
#include <pcl_ros/point_cloud.h>

#include <mcl_3dl/chunked_kdtree.h>
#include <mcl_3dl/lidar_measurement_model_base.h>
#include <mcl_3dl/pf.h>
#include <mcl_3dl/point_cloud_random_sampler.h>
#include <mcl_3dl/vec3.h>

namespace mcl_3dl
{
class LidarMeasurementModelBeam : public LidarMeasurementModelBase
{
private:
  size_t num_points_;
  size_t num_points_default_;
  size_t num_points_global_;
  float clip_far_sq_;
  float clip_near_sq_;
  float clip_z_min_;
  float clip_z_max_;
  float beam_likelihood_min_;
  float beam_likelihood_;
  float sin_total_ref_;
  float map_grid_min_;
  float map_grid_max_;

  PointCloudRandomSampler sampler_;

public:
  LidarMeasurementModelBeam(const float x, const float y, const float z);

  inline float getMaxSearchRange() const
  {
    return map_grid_max_ * 4;
  }
  inline float getSinTotalRef() const
  {
    return sin_total_ref_;
  }

  void loadConfig(
      const ros::NodeHandle& nh,
      const std::string& name);
  void setGlobalLocalizationStatus(
      const size_t num_particles,
      const size_t current_num_particles);
  pcl::PointCloud<PointType>::Ptr filter(
      const pcl::PointCloud<PointType>::ConstPtr& pc) const;
  LidarMeasurementResult measure(
      ChunkedKdtree<PointType>::Ptr& kdtree,
      const pcl::PointCloud<PointType>::ConstPtr& pc,
      const std::vector<Vec3>& origins,
      const State6DOF& s) const;
};
}  // namespace mcl_3dl

#endif  // MCL_3DL_LIDAR_MEASUREMENT_MODELS_LIDAR_MEASUREMENT_MODEL_BEAM_H