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#include <mtt/mtt.h>

bool new_data=false;
sensor_msgs::PointCloud2 pointData;

void PointsHandler(const sensor_msgs::PointCloud2& msg)
{
        pointData=msg;
        new_data=true;
}

void PointCloud2ToData(sensor_msgs::PointCloud2& cloud,t_data& data)//this function will convert the point cloud data into a laser scan type structure
{
        pcl::PointCloud<pcl::PointXYZ> PclCloud;
        
        pcl::fromROSMsg(cloud,PclCloud);
        
        
        double theta;
        map<double,pair<uint,double> > grid;
        map<double,pair<uint,double> >::iterator it;
        
        double spacing = 1.*M_PI/180.;
        
        double rightBorder;
        double leftBorder;
        
        double r;
        
        cout<<"mtt Input size:"<<PclCloud.points.size()<<endl;
        //get points into grid to reorder them
        for(uint i=0;i<PclCloud.points.size();i++)
        {
                theta=atan2(PclCloud.points[i].y,PclCloud.points[i].x);
                r=sqrt(pow(PclCloud.points[i].x,2)+pow(PclCloud.points[i].y,2));
                
                //get closest theta, given a predefined precision
                rightBorder = spacing * ceil(theta/spacing);
                leftBorder = rightBorder - spacing;

                if(fabs(rightBorder-theta)<fabs(leftBorder-theta))
                        theta=rightBorder;
                else
                        theta=leftBorder;
                
                if(grid.find(theta)!=grid.end())
                {
                        if(r<grid[theta].second)//using closest measurement
                        {
                                grid[theta].first=i;
                                grid[theta].second=r;
                        }
                }else
                {
                        grid[theta].first=i;
                        grid[theta].second=r;
                }
        }
        
        uint i=0;
        for(it=grid.begin();it!=grid.end();it++)
        {
                //the map auto orders the theta values
                data.x[i]=PclCloud.points[(*it).second.first].x;
                data.y[i]=PclCloud.points[(*it).second.first].y;
                data.r[i]=sqrt(pow(data.x[i],2)+pow(data.y[i],2));
                data.t[i]=atan2(data.y[i],data.x[i]);
                
                i++;
        }
        
        data.n_points=grid.size();
        cout<<"mtt Size of data:"<<data.n_points<<endl;
}




void CreateMarkers(vector<visualization_msgs::Marker>& marker_vector,mtt::TargetListPC& target_msg,vector<t_listPtr>& list)
{
        static map<pair<string,int>, pair<visualization_msgs::Marker,int> > marker_map;
        map<pair<string,int>, pair<visualization_msgs::Marker,int> >::iterator it;
        
        
        //limpar o vector todo
        marker_vector.clear();
        //colocar todos os elementos em processo de elemincação
        for(it=marker_map.begin();it!=marker_map.end();it++)
                it->second.second--;
        
        
        std_msgs::ColorRGBA color;
        class_colormap colormap("hsv",10, 1, false);
        
        visualization_msgs::Marker marker;
        
        marker.header.frame_id = target_msg.header.frame_id;
        cout<<"fid:"<<target_msg.header.frame_id<<endl;

        marker.header.stamp = ros::Time::now();
        marker.ns = "ids";
        marker.action = visualization_msgs::Marker::ADD;
        
        marker.pose.position.z=0.3;
        
        marker.type = visualization_msgs::Marker::TEXT_VIEW_FACING;
        
        marker.scale.x = 0.2; 
        marker.scale.y = 0.2; 
        marker.scale.z = 0.2; 

        marker.color.r=0;
        marker.color.g=0;
        marker.color.b=0;
        marker.color.a=1;
        
        marker.id=0;
        
        for(uint i=0;i<list.size();i++)
        {
                if(list[i]->shape.lines.size()!=0)
                {
                        marker.pose.position.x=list[i]->position.estimated_x;
                        marker.pose.position.y=list[i]->position.estimated_y;
                        
                        marker.text = boost::lexical_cast<string>(list[i]->id);
                
                        marker.id++;
                        
                        marker_map[make_pair(marker.ns,marker.id) ] = make_pair(marker,1);//isto substitui ou cria o novo marker no map
                }
        }
        
                        marker.pose.position.x=0;
                        marker.pose.position.y=0;
                        
                        marker.text = "origin";
                
                        marker.id++;
                        
                        marker_map[make_pair(marker.ns,marker.id) ] = make_pair(marker,1);//isto substitui ou cria o novo marker no map
                        
        
        // Markers for Line objects 
        marker.type = visualization_msgs::Marker::LINE_STRIP;
        marker.ns = "objects";
        
        marker.pose.position.x=0;
        marker.pose.position.y=0;
        marker.pose.position.z=0;
        
        marker.scale.x = 0.02; 
        marker.scale.y = 0.1; 
        marker.scale.z = 0.1; 
        
        for(uint i=0;i<list.size();i++)
        {
                marker.color = colormap.color(list[i]->id);

                geometry_msgs::Point p;
                p.z = 0.1;
        
                marker.points.clear();
        
                uint l;
                for(l=0;l<list[i]->shape.lines.size();l++)
                {
                        p.x = list[i]->shape.lines[l]->xi;
                        p.y = list[i]->shape.lines[l]->yi;
                        
                        marker.points.push_back(p);
                }
        
                p.x = list[i]->shape.lines[l-1]->xf;
                p.y = list[i]->shape.lines[l-1]->yf;
                
                marker.points.push_back(p);
                
                marker.id++;
                
                marker_map[make_pair(marker.ns,marker.id) ] = make_pair(marker,1);//isto substitui ou cria o novo marker no map
        }
        
        
        //para o map todo envio tudo, e meto tudo a false
        //envio todo e tudo o que ainda estiver a false vai com operaração de delete
        for(it=marker_map.begin();it!=marker_map.end();it++)
        {
                if( it->second.second==0 )//se for falso é para apagar
                        it->second.first.action = visualization_msgs::Marker::DELETE;
                else if(it->second.second<=-1)//já foi apagado
                {
                        continue;
                }
                
                marker_vector.push_back(it->second.first);
        }
}

int main(int argc,char**argv)
{
        mtt::TargetListPC targetList;
        
        t_config        config; 
        t_data          full_data;
        t_flag          flags;
        
        vector<t_clustersPtr> clusters;
        vector<t_objectPtr> object;
        vector<t_listPtr> list;
        
        visualization_msgs::MarkerArray markersMsg;
        
        // Initialize ROS
        init(argc,argv,"mtt");
        
        NodeHandle nh("~");
        
        Subscriber subs_points = nh.subscribe("/points", 1000, PointsHandler);
        Publisher target_publisher = nh.advertise<mtt::TargetList>("/targets", 1000);
        Publisher markers_publisher= nh.advertise<visualization_msgs::MarkerArray>("/markers", 1000);
        Publisher marker_publisher= nh.advertise<visualization_msgs::Marker>("/marker", 1000);
        
        init_flags(&flags);             //Inits flags values
        init_config(&config);   //Inits configuration values
        
        cout<<"Start to spin"<<endl;
        Rate r(100);
        while(ok())
        {
                spinOnce();
                r.sleep();
                
                if(!new_data)
                        continue;
                new_data=false;
                
                //Get data from PointCloud2 to full_data
                PointCloud2ToData(pointData,full_data);
                
                //clustering            
                clustering(full_data,clusters,&config,&flags);
                
                //calc_cluster_props
                calc_cluster_props(clusters,full_data);
                
                //clusters2objects              
                clusters2objects(object,clusters,full_data,config);
                
                calc_object_props(object);
                
                //AssociateObjects
                AssociateObjects(list,object,config,flags);
                
                //MotionModelsIteration
                MotionModelsIteration(list,config);

//              cout<<"Number of targets "<<list.size()<<endl;
                
                clean_objets(object);//clean current objects
                
                targetList.id.clear();
                targetList.obstacle_lines.clear();//clear all lines
                
                pcl::PointCloud<pcl::PointXYZ> target_positions;
                pcl::PointCloud<pcl::PointXYZ> velocity;
                        
                target_positions.header.stamp = ros::Time::now();
                target_positions.header.frame_id = pointData.header.frame_id;
                
                velocity.header.stamp = ros::Time::now();
                velocity.header.frame_id = pointData.header.frame_id;
                
                targetList.header.frame_id = pointData.header.frame_id;
                
                
                for(uint i=0;i<list.size();i++)
                {
                        targetList.id.push_back(list[i]->id);
                  
                        pcl::PointXYZ position;
                        
                        position.x = list[i]->position.estimated_x;
                        position.y = list[i]->position.estimated_y;
                        position.z = 0;
                        
                        target_positions.points.push_back(position);
                        
                        pcl::PointXYZ vel;
                        
                        vel.x=list[i]->velocity.velocity_x;
                        vel.y=list[i]->velocity.velocity_y;
                        vel.z=0;
                        
                        velocity.points.push_back(vel);
                        
                        pcl::PointCloud<pcl::PointXYZ> shape;
                        pcl::PointXYZ line_point;
                        
                        uint j;
                        for(j=0;j<list[i]->shape.lines.size();j++)
                        {
                                line_point.x=list[i]->shape.lines[j]->xi;
                                line_point.y=list[i]->shape.lines[j]->yi;
                                
                                shape.points.push_back(line_point);
                        }
                        
                        line_point.x=list[i]->shape.lines[j-1]->xf;
                        line_point.y=list[i]->shape.lines[j-1]->yf;
                        
                        sensor_msgs::PointCloud2 shape_cloud;
                        pcl::toROSMsg(shape,shape_cloud);
                        targetList.obstacle_lines.push_back(shape_cloud);
                }
                
                pcl::toROSMsg(target_positions, targetList.position);
                pcl::toROSMsg(velocity, targetList.velocity);
                        
                target_publisher.publish(targetList);
                
                CreateMarkers(markersMsg.markers,targetList,list);
                //markersMsg.header.frame_id=targetList.header.frame_id;

                markers_publisher.publish(markersMsg);
                
                flags.fi=false;
        }
        
        return 0;
}

---

mtt
Author(s): Jorge Almeida
autogenerated on Wed Jul 23 04:34:57 2014