agv_pro_ros2/slam_gmapping/openslam_gmapping/gfs-carmen/gfs-carmen.cpp

/*****************************************************************
 *
 * This file is part of the GMAPPING project
 *
 * GMAPPING Copyright (c) 2004 Giorgio Grisetti, 
 * Cyrill Stachniss, and Wolfram Burgard
 *
 * This software is licensed under the "Creative Commons 
 * License (Attribution-NonCommercial-ShareAlike 2.0)" 
 * and is copyrighted by Giorgio Grisetti, Cyrill Stachniss, 
 * and Wolfram Burgard.
 * 
 * Further information on this license can be found at:
 * http://creativecommons.org/licenses/by-nc-sa/2.0/
 * 
 * GMAPPING is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied 
 * warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
 * PURPOSE.  
 *
 *****************************************************************/


#include <utils/commandline.h>
#include <carmenwrapper/carmenwrapper.h>
#include <gridfastslam/gridslamprocessor.h>
#include <utils/orientedboundingbox.h>
#include <configfile/configfile.h>

#define DEBUG cout << __PRETTY_FUNCTION__

/*
Example file for interfacing carmen, and gfs.

if you want to look for a specific topic search for one of the following keywords in the file comments

KEYWORDS:
	CREATION
	INITIALIZATION
	SENSOR MAP
	BEST PARTICLE INDEX
	PARTICLE VECTOR
	PARTICLE TRAJECTORIES
	BEST MAP
 	BOUNDING BOX
*/

using namespace GMapping;
using namespace std;

int main(int argc, const char * const * argv){
	
	std::string outfilename="";
	double xmin=-100.;
	double ymin=-100.;
	double xmax=100.;
	double ymax=100.;
	double delta=0.05;
	
	//scan matching parameters
	double sigma=0.05;
	double maxrange=80.;
	double maxUrange=80.;
	double regscore=1e4;
	double lstep=.05;
	double astep=.05;
	int kernelSize=1;
	int iterations=5;
	double critscore=0.;
	double maxMove=1.;
	double lsigma=.075;
	double ogain=3;
	int lskip=0;

	//motion model parameters
	double srr=0.01, srt=0.01, str=0.01, stt=0.01;
	//particle parameters
	int particles=30;
	
	
	//gfs parameters
	double angularUpdate=0.5;
	double linearUpdate=1;
	double resampleThreshold=0.5;
	bool generateMap=true;
	
	std::string configfilename = "";

	CMD_PARSE_BEGIN_SILENT(1,argc);
		parseStringSilent("-cfg",configfilename);
	CMD_PARSE_END_SILENT;

	if (configfilename.length()>0){
	  ConfigFile cfg(configfilename);
	  outfilename = (std::string) cfg.value("gfs","outfilename",outfilename);
	  xmin = cfg.value("gfs","xmin", xmin);
	  xmax = cfg.value("gfs","xmax",xmax);
	  ymin = cfg.value("gfs","ymin",ymin);
	  ymax = cfg.value("gfs","ymax",ymax);
	  delta =  cfg.value("gfs","delta",delta);
	  maxrange = cfg.value("gfs","maxrange",maxrange);
	  maxUrange = cfg.value("gfs","maxUrange",maxUrange);
	  regscore = cfg.value("gfs","regscore",regscore);
	  critscore = cfg.value("gfs","critscore",critscore);
	  kernelSize = cfg.value("gfs","kernelSize",kernelSize);
	  sigma = cfg.value("gfs","sigma",sigma);
	  iterations = cfg.value("gfs","iterations",iterations);
	  lstep = cfg.value("gfs","lstep",lstep);
	  astep = cfg.value("gfs","astep",astep);
	  maxMove = cfg.value("gfs","maxMove",maxMove);
	  srr = cfg.value("gfs","srr", srr);
	  srt = cfg.value("gfs","srt", srt);
	  str = cfg.value("gfs","str", str);
	  stt = cfg.value("gfs","stt", stt);
	  particles = cfg.value("gfs","particles",particles);
	  angularUpdate = cfg.value("gfs","angularUpdate", angularUpdate);
	  linearUpdate = cfg.value("gfs","linearUpdate", linearUpdate);
	  lsigma = cfg.value("gfs","lsigma", lsigma);
	  ogain = cfg.value("gfs","lobsGain", ogain);
	  lskip = (int)cfg.value("gfs","lskip", lskip);
	  //	  randseed = cfg.value("gfs","randseed", randseed);
	  resampleThreshold = cfg.value("gfs","resampleThreshold", resampleThreshold);
	  generateMap = cfg.value("gfs","generateMap", generateMap);
	}

	
	CMD_PARSE_BEGIN(1,argc);
		parseString("-cfg",configfilename);
		parseString("-outfilename",outfilename);
		parseDouble("-xmin",xmin);
		parseDouble("-xmax",xmax);
		parseDouble("-ymin",ymin);
		parseDouble("-ymax",ymax);
		parseDouble("-delta",delta);
		parseDouble("-maxrange",maxrange);
		parseDouble("-maxUrange",maxUrange);
		parseDouble("-regscore",regscore);
		parseDouble("-critscore",critscore);
		parseInt("-kernelSize",kernelSize);
		parseDouble("-sigma",sigma);
		parseInt("-iterations",iterations);
		parseDouble("-lstep",lstep);
		parseDouble("-astep",astep);
		parseDouble("-maxMove",maxMove);
		parseDouble("-srr", srr);
		parseDouble("-srt", srt);
		parseDouble("-str", str);
		parseDouble("-stt", stt);
		parseInt("-particles",particles);
		parseDouble("-angularUpdate", angularUpdate);
		parseDouble("-linearUpdate", linearUpdate);
		parseDouble("-lsigma", lsigma);
		parseDouble("-lobsGain", ogain);
		parseInt("-lskip", lskip);
		parseDouble("-resampleThreshold", resampleThreshold);
		parseFlag("-generateMap", generateMap);
	CMD_PARSE_END;

	cerr << "Parameter parsed, connecting to Carmen!";

	CarmenWrapper::initializeIPC(argv[0]);
	CarmenWrapper::start(argv[0]);

	while (! CarmenWrapper::sensorMapComputed()){
		usleep(500000);
		cerr << "." << flush;
	}

	//CREATION
	
	GridSlamProcessor* processor=new GridSlamProcessor;
		
	//SENSOR MAP 
	//loads from the carmen wrapper the laser and robot settings
	SensorMap sensorMap=CarmenWrapper::sensorMap();
	cerr << "Connected " << endl;
	processor->setSensorMap(sensorMap);

	//set the command line parameters
	processor->setMatchingParameters(maxUrange, maxrange, sigma, kernelSize, lstep, astep, iterations, lsigma, ogain, lskip);
	processor->setMotionModelParameters(srr, srt, str, stt);
	processor->setUpdateDistances(linearUpdate, angularUpdate, resampleThreshold);
	processor->setgenerateMap(generateMap);
	OrientedPoint initialPose(xmin+xmax/2, ymin+ymax/2, 0);
	
	
	//INITIALIZATION
	processor->init(particles, xmin, ymin, xmax, ymax, delta, initialPose);
	if (outfilename.length()>0)
		processor->outputStream().open(outfilename.c_str());
	
	bool running=true;
	
	GridSlamProcessor* ap, *copy=processor->clone();
	ap=processor; processor=copy; copy=ap;

	//this is the CORE LOOP;	
	RangeReading rr(0,0);
	while (running){
		while (CarmenWrapper::getReading(rr)){

		  		  
			bool processed=processor->processScan(rr);
			
			//this returns true when the algorithm effectively processes (the traveled path since the last processing is over a given threshold)
			if (processed){
				cerr << "PROCESSED" << endl;
				//for searching for the BEST PARTICLE INDEX
				//				unsigned int best_idx=processor->getBestParticleIndex();
				
				//if you want to access to the PARTICLE VECTOR
				const GridSlamProcessor::ParticleVector& particles = processor->getParticles(); 
				//remember to use a const reference, otherwise it copys the whole particles and maps
				
				//this is for recovering the tree of PARTICLE TRAJECTORIES (obtaining the ancestor of each particle)
				cerr << "Particle reproduction story begin" << endl;
				for (unsigned int i=0; i<particles.size(); i++){
					cerr << particles[i].previousIndex << "->"  << i << " ";
				}
				cerr << "Particle reproduction story end" << endl;
/*				
				//then if you want to access the BEST MAP,
				//of course by copying it in a plain structure 
				Map<double, DoubleArray2D, false>* mymap = processor->getParticles()[best_idx].map.toDoubleMap();
				//at this point mymap is yours. Can do what you want.
												
				double best_weight=particles[best_idx].weightSum;
				cerr << "Best Particle is " << best_idx << " with weight " << best_weight << endl;
				
*/				
				cerr << __PRETTY_FUNCTION__  << "CLONING... " << endl;
				GridSlamProcessor* newProcessor=processor->clone();
				cerr << "DONE" << endl;
				cerr << __PRETTY_FUNCTION__  << "DELETING... " << endl;
				delete processor;
				cerr << "DONE" << endl;
				processor=newProcessor;
			} 
		}
	}
	return 0;
}