costmap_to_polygons_concave.cpp

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 * Author: Christoph Rösmann, Otniel Rinaldo
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#include <costmap_converter/costmap_to_polygons_concave.h>
 
#include <pluginlib/class_list_macros.h>
 
PLUGINLIB_EXPORT_CLASS(costmap_converter::CostmapToPolygonsDBSConcaveHull, costmap_converter::BaseCostmapToPolygons)
 
namespace costmap_converter
{
    
CostmapToPolygonsDBSConcaveHull::CostmapToPolygonsDBSConcaveHull() : CostmapToPolygonsDBSMCCH()
{
  dynamic_recfg_ = NULL;
}
 
CostmapToPolygonsDBSConcaveHull::~CostmapToPolygonsDBSConcaveHull() 
{
  if (dynamic_recfg_ != NULL)
    delete dynamic_recfg_;
}
 
void CostmapToPolygonsDBSConcaveHull::initialize(ros::NodeHandle nh)
{
    nh.param("cluster_max_distance", parameter_.max_distance_, 0.4);
    nh.param("cluster_min_pts", parameter_.min_pts_, 2);
    nh.param("cluster_max_pts", parameter_.max_pts_, 30);
    nh.param("convex_hull_min_pt_separation", parameter_.min_keypoint_separation_, 0.1);
    parameter_buffered_ = parameter_;
    
    nh.param("concave_hull_depth", concave_hull_depth_, 2.0);
    
    // setup dynamic reconfigure
    dynamic_recfg_ = new dynamic_reconfigure::Server<CostmapToPolygonsDBSConcaveHullConfig>(nh);
    dynamic_reconfigure::Server<CostmapToPolygonsDBSConcaveHullConfig>::CallbackType cb = boost::bind(&CostmapToPolygonsDBSConcaveHull::reconfigureCB, this, _1, _2);
    dynamic_recfg_->setCallback(cb);
}
 
 
void CostmapToPolygonsDBSConcaveHull::compute()
{
    std::vector< std::vector<KeyPoint> > clusters;
    dbScan(clusters);
    
    // Create new polygon container
    PolygonContainerPtr polygons(new std::vector<geometry_msgs::Polygon>());
    
    
    // add convex hulls to polygon container
    for (int i = 1; i <clusters.size(); ++i) // skip first cluster, since it is just noise
    {
      polygons->push_back( geometry_msgs::Polygon() );
      concaveHull(clusters[i], concave_hull_depth_, polygons->back() );
    }
    
    // add our non-cluster points to the polygon container (as single points)
    if (!clusters.empty())
    {
      for (int i=0; i < clusters.front().size(); ++i)
      {
        polygons->push_back( geometry_msgs::Polygon() );
        convertPointToPolygon(clusters.front()[i], polygons->back());
      }
    }
    
    // replace shared polygon container
    updatePolygonContainer(polygons);
}
 
 
void CostmapToPolygonsDBSConcaveHull::concaveHull(std::vector<KeyPoint>& cluster, double depth, geometry_msgs::Polygon& polygon)
{
    // start with convex hull
    convexHull2(cluster, polygon);
 
    std::vector<geometry_msgs::Point32>& concave_list = polygon.points;
 
    for (int i = 0; i < (int)concave_list.size() - 1; ++i)
    {
      
        // find nearest inner point pk from line (vertex1 -> vertex2)
        const geometry_msgs::Point32& vertex1 = concave_list[i];
        const geometry_msgs::Point32& vertex2 = concave_list[i+1];
 
        bool found;
        size_t nearest_idx = findNearestInnerPoint(vertex1, vertex2, cluster, concave_list, &found);
        if (!found) 
          continue;  
        
        double line_length = norm2d(vertex1, vertex2);
                
        double dst1 = norm2d(cluster[nearest_idx], vertex1);
        double dst2 = norm2d(cluster[nearest_idx], vertex2);
        double dd = std::min(dst1, dst2);
        if (dd<1e-8)
          continue;
 
        if (line_length / dd > depth)
        {
            // Check that new candidate edge will not intersect existing edges.
            bool intersects = checkLineIntersection(concave_list, vertex1, vertex2, vertex1, cluster[nearest_idx]);
            intersects |= checkLineIntersection(concave_list, vertex1, vertex2, cluster[nearest_idx], vertex2);
            if (!intersects) 
            {
              geometry_msgs::Point32 new_point;
              cluster[nearest_idx].toPointMsg(new_point);
              concave_list.insert(concave_list.begin() + i + 1, new_point);
              i--;
            }
        }
    }
}
 
 
void CostmapToPolygonsDBSConcaveHull::concaveHullClusterCut(std::vector<KeyPoint>& cluster, double depth, geometry_msgs::Polygon& polygon)
{
    // start with convex hull
    convexHull2(cluster, polygon);
 
    std::vector<geometry_msgs::Point32>& concave_list = polygon.points;
    
    // get line length
    double mean_length = 0;
    for (int i = 0; i < (int)concave_list.size() - 1; ++i)
    {
      mean_length += norm2d(concave_list[i],concave_list[i+1]);
    }
    mean_length /= double(concave_list.size());
 
    for (int i = 0; i < (int)concave_list.size() - 1; ++i)
    {
      
        // find nearest inner point pk from line (vertex1 -> vertex2)
        const geometry_msgs::Point32& vertex1 = concave_list[i];
        const geometry_msgs::Point32& vertex2 = concave_list[i+1];
 
        double line_length = norm2d(vertex1, vertex2);
        
        bool found;
        size_t nearest_idx = findNearestInnerPoint(vertex1, vertex2, cluster, concave_list, &found);
        if (!found) 
        {
          continue;  
        }
        
                
        double dst1 = norm2d(cluster[nearest_idx], vertex1);
        double dst2 = norm2d(cluster[nearest_idx], vertex2);
        double dd = std::min(dst1, dst2);
        if (dd<1e-8)
          continue;
 
        if (line_length / dd > depth)
        {
            // Check that new candidate edge will not intersect existing edges.
            bool intersects = checkLineIntersection(concave_list, vertex1, vertex2, vertex1, cluster[nearest_idx]);
            intersects |= checkLineIntersection(concave_list, vertex1, vertex2, cluster[nearest_idx], vertex2);
            if (!intersects) 
            {
              geometry_msgs::Point32 new_point;
              cluster[nearest_idx].toPointMsg(new_point);
              concave_list.insert(concave_list.begin() + i + 1, new_point);
              i--;
            }
        }
    }
}
 
 
 
 
void CostmapToPolygonsDBSConcaveHull::reconfigureCB(CostmapToPolygonsDBSConcaveHullConfig& config, uint32_t level)
{
    boost::mutex::scoped_lock lock(parameter_mutex_);
    parameter_buffered_.max_distance_ = config.cluster_max_distance;
    parameter_buffered_.min_pts_ = config.cluster_min_pts;
    parameter_buffered_.max_pts_ = config.cluster_max_pts;
    parameter_buffered_.min_keypoint_separation_ = config.cluster_min_pts;
    concave_hull_depth_ = config.concave_hull_depth;
}
 
}//end namespace costmap_converter