Removed support for Matlab, Java.
This commit is contained in:
@@ -1,69 +0,0 @@
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classdef MinesRover < WheeledRobot
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%MinesRover Class for MinesRover custom robot
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%
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% Copyright (C) 2014 Simon D. Levy
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%
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% This code is free software: you can redistribute it and/or modify
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% it under the terms of the GNU Lesser General Public License as
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% published by the Free Software Foundation, either version 3 of the
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% License, or (at your option) any later version.
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%
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% This code is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU Lesser General Public License
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% along with this code. If not, see <http:#www.gnu.org/licenses/>.
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properties (Access = 'private')
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TICKS_PER_CYCLE = 2000;
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end
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methods (Access = 'private')
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function degrees = ticks_to_degrees(obj, ticks)
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degrees = ticks * (180. / obj.TICKS_PER_CYCLE);
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end
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end
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methods (Access = 'public')
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function robot = MinesRover()
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robot = robot@WheeledRobot(77, 165);
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end
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function disp(obj)
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% Displays information about this MinesRover
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fprintf('<%s ticks_per_cycle=%d>\n', obj.str(), obj.TICKS_PER_CYCLE)
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end
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function [poseChange, obj] = computePoseChange(obj, odometry)
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[poseChange, obj] = computePoseChange@WheeledRobot(obj, odometry(1), odometry(2), odometry(3));
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end
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function [timestampSeconds, leftWheelDegrees, rightWheelDegrees] = ...
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extractOdometry(obj, timestamp, leftWheel, rightWheel)
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% Convert microseconds to seconds
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timestampSeconds = timestamp / 1e6;
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% Convert ticks to angles
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leftWheelDegrees = obj.ticks_to_degrees(leftWheel);
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rightWheelDegrees = obj.ticks_to_degrees(rightWheel);
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end
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end
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end
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@@ -1,439 +0,0 @@
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/*
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log2pgm.cpp : BreezySLAM demo. Reads logfile with odometry and scan data from
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Paris Mines Tech and produces a .PGM image file showing robot path
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and final map.
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For details see
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@inproceedings{,
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author = {Bruno Steux and Oussama El Hamzaoui},
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title = {SinglePositionSLAM: a SLAM Algorithm in less than 200 lines of C code},
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booktitle = {11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, Singapore, 7-10
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December 2010, Proceedings},
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pages = {1975-1979},
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publisher = {IEEE},
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year = {2010}
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}
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Copyright (C) 2014 Simon D. Levy
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This code is free software: you can redistribute it and/or modify
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it under the terms of the GNU Lesser General Public License as
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published by the Free Software Foundation, either version 3 of the
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License, or (at your option) any later version.
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This code is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU Lesser General Public License
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along with this code. If not, see <http://www.gnu.org/licenses/>.
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Change log:
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20-APR-2014 - Simon D. Levy - Get params from command line
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05-JUN-2014 - SDL - get random seed from command line
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*/
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// SinglePositionSLAM params: gives us a nice-size map
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static const int MAP_SIZE_PIXELS = 800;
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static const double MAP_SIZE_METERS = 32;
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static const int SCAN_SIZE = 682;
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// Arbitrary maximum length of line in input logfile
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#define MAXLINE 10000
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#include <iostream>
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#include <vector>
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using namespace std;
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#include <stdlib.h>
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#include <stdio.h>
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#include <string.h>
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#include <math.h>
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#include <time.h>
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#include "Position.hpp"
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#include "Laser.hpp"
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#include "WheeledRobot.hpp"
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#include "PoseChange.hpp"
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#include "algorithms.hpp"
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// Methods to load all data from file ------------------------------------------
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// Each line in the file has the format:
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//
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// TIMESTAMP ... Q1 Q1 ... Distances
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// (usec) (mm)
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// 0 ... 2 3 ... 24 ...
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//
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//where Q1, Q2 are odometry values
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static void skiptok(char ** cpp)
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{
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*cpp = strtok(NULL, " ");
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}
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static int nextint(char ** cpp)
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{
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skiptok(cpp);
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return atoi(*cpp);
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}
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static void load_data(
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const char * dataset,
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vector<int *> & scans,
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vector<long *> & odometries)
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{
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char filename[256];
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sprintf(filename, "%s.dat", dataset);
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printf("Loading data from %s ... \n", filename);
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FILE * fp = fopen(filename, "rt");
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if (!fp)
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{
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fprintf(stderr, "Failed to open file\n");
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exit(1);
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}
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char s[MAXLINE];
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while (fgets(s, MAXLINE, fp))
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{
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char * cp = strtok(s, " ");
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long * odometry = new long [3];
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odometry[0] = atol(cp);
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skiptok(&cp);
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odometry[1] = nextint(&cp);
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odometry[2] = nextint(&cp);
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odometries.push_back(odometry);
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// Skip unused fields
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for (int k=0; k<20; ++k)
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{
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skiptok(&cp);
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}
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int * scanvals = new int [SCAN_SIZE];
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for (int k=0; k<SCAN_SIZE; ++k)
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{
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scanvals[k] = nextint(&cp);
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}
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scans.push_back(scanvals);
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}
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fclose(fp);
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}
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// Class for Mines verison of URG-04LX Lidar -----------------------------------
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class MinesURG04LX : public URG04LX
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{
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public:
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MinesURG04LX(void): URG04LX(
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70, // detectionMargin
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145) // offsetMillimeters
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{
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}
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};
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// Class for MinesRover custom robot -------------------------------------------
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class Rover : WheeledRobot
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{
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public:
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Rover() : WheeledRobot(
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77, // wheelRadiusMillimeters
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165) // halfAxleLengthMillimeters
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{
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}
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PoseChange computePoseChange(long * odometry, PoseChange & poseChange)
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{
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return WheeledRobot::computePoseChange(
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odometry[0],
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odometry[1],
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odometry[2]);
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}
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protected:
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void extractOdometry(
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double timestamp,
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double leftWheelOdometry,
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double rightWheelOdometry,
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double & timestampSeconds,
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double & leftWheelDegrees,
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double & rightWheelDegrees)
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{
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// Convert microseconds to seconds, ticks to angles
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timestampSeconds = timestamp / 1e6;
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leftWheelDegrees = ticksToDegrees(leftWheelOdometry);
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rightWheelDegrees = ticksToDegrees(rightWheelOdometry);
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}
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void descriptorString(char * str)
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{
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sprintf(str, "ticks_per_cycle=%d", this->TICKS_PER_CYCLE);
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}
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private:
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double ticksToDegrees(double ticks)
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{
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return ticks * (180. / this->TICKS_PER_CYCLE);
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}
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static const int TICKS_PER_CYCLE = 2000;
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};
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// Progress-bar class
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// Adapted from http://code.activestate.com/recipes/168639-progress-bar-class/
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// Downloaded 12 January 2014
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class ProgressBar
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{
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public:
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ProgressBar(int minValue, int maxValue, int totalWidth)
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{
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strcpy(this->progBar, "[]"); // This holds the progress bar string
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this->min = minValue;
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this->max = maxValue;
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this->span = maxValue - minValue;
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this->width = totalWidth;
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this->amount = 0; // When amount == max, we are 100% done
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this->updateAmount(0); // Build progress bar string
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}
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void updateAmount(int newAmount)
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{
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if (newAmount < this->min)
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{
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newAmount = this->min;
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}
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if (newAmount > this->max)
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{
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newAmount = this->max;
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}
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this->amount = newAmount;
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// Figure out the new percent done, round to an integer
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float diffFromMin = float(this->amount - this->min);
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int percentDone = (int)round((diffFromMin / float(this->span)) * 100.0);
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// Figure out how many hash bars the percentage should be
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int allFull = this->width - 2;
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int numHashes = (int)round((percentDone / 100.0) * allFull);
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// Build a progress bar with hashes and spaces
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strcpy(this->progBar, "[");
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this->addToProgBar("#", numHashes);
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this->addToProgBar(" ", allFull-numHashes);
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strcat(this->progBar, "]");
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// Figure out where to put the percentage, roughly centered
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int percentPlace = (strlen(this->progBar) / 2) - ((int)(log10(percentDone+1)) + 1);
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char percentString[5];
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sprintf(percentString, "%d%%", percentDone);
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// Put it there
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for (int k=0; k<strlen(percentString); ++k)
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{
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this->progBar[percentPlace+k] = percentString[k];
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}
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}
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char * str()
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{
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return this->progBar;
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}
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private:
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char progBar[1000]; // more than we should ever need
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int min;
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int max;
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int span;
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int width;
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int amount;
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void addToProgBar(const char * s, int n)
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{
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for (int k=0; k<n; ++k)
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{
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strcat(this->progBar, s);
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}
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}
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};
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// Helpers ----------------------------------------------------------------
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int coords2index(double x, double y)
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{
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return y * MAP_SIZE_PIXELS + x;
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}
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int mm2pix(double mm)
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{
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return (int)(mm / (MAP_SIZE_METERS * 1000. / MAP_SIZE_PIXELS));
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}
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int main( int argc, const char** argv )
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{
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// Bozo filter for input args
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if (argc < 3)
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{
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fprintf(stderr,
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"Usage: %s <dataset> <use_odometry> <random_seed>\n",
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argv[0]);
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fprintf(stderr, "Example: %s exp2 1 9999\n", argv[0]);
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exit(1);
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}
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// Grab input args
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const char * dataset = argv[1];
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bool use_odometry = atoi(argv[2]) ? true : false;
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int random_seed = argc > 3 ? atoi(argv[3]) : 0;
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// Load the Lidar and odometry data from the file
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vector<int *> scans;
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vector<long *> odometries;
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load_data(dataset, scans, odometries);
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// Build a robot model in case we want odometry
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Rover robot = Rover();
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// Create a byte array to receive the computed maps
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unsigned char * mapbytes = new unsigned char[MAP_SIZE_PIXELS * MAP_SIZE_PIXELS];
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// Create SLAM object
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MinesURG04LX laser;
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SinglePositionSLAM * slam = random_seed ?
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(SinglePositionSLAM*)new RMHC_SLAM(laser, MAP_SIZE_PIXELS, MAP_SIZE_METERS, random_seed) :
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(SinglePositionSLAM*)new Deterministic_SLAM(laser, MAP_SIZE_PIXELS, MAP_SIZE_METERS);
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// Report what we're doing
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int nscans = scans.size();
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printf("Processing %d scans with%s odometry / with%s particle filter...\n",
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nscans, use_odometry ? "" : "out", random_seed ? "" : "out");
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ProgressBar * progbar = new ProgressBar(0, nscans, 80);
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// Start with an empty trajectory of positions
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vector<double *> trajectory;
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// Start timing
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time_t start_sec = time(NULL);
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// Loop over scans
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for (int scanno=0; scanno<nscans; ++scanno)
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{
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int * lidar = scans[scanno];
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// Update with/out odometry
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if (use_odometry)
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{
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PoseChange poseChange = robot.computePoseChange(odometries[scanno], poseChange);
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slam->update(lidar, poseChange);
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}
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else
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{
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slam->update(lidar);
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}
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Position position = slam->getpos();
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// Add new coordinates to trajectory
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double * v = new double[2];
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v[0] = position.x_mm;
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v[1] = position.y_mm;
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trajectory.push_back(v);
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// Tame impatience
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progbar->updateAmount(scanno);
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printf("\r%s", progbar->str());
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fflush(stdout);
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}
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// Report speed
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time_t elapsed_sec = time(NULL) - start_sec;
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printf("\n%d scans in %ld seconds = %f scans / sec\n",
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nscans, elapsed_sec, (float)nscans/elapsed_sec);
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// Get final map
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slam->getmap(mapbytes);
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// Put trajectory into map as black pixels
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for (int k=0; k<(int)trajectory.size(); ++k)
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{
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double * v = trajectory[k];
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int x = mm2pix(v[0]);
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int y = mm2pix(v[1]);
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delete v;
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mapbytes[coords2index(x, y)] = 0;
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}
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// Save map and trajectory as PGM file
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char filename[100];
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sprintf(filename, "%s.pgm", dataset);
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printf("\nSaving map to file %s\n", filename);
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FILE * output = fopen(filename, "wt");
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fprintf(output, "P2\n%d %d 255\n", MAP_SIZE_PIXELS, MAP_SIZE_PIXELS);
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for (int y=0; y<MAP_SIZE_PIXELS; y++)
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{
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for (int x=0; x<MAP_SIZE_PIXELS; x++)
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{
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fprintf(output, "%d ", mapbytes[coords2index(x, y)]);
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}
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fprintf(output, "\n");
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}
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printf("\n");
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// Clean up
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for (int scanno=0; scanno<(int)scans.size(); ++scanno)
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{
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delete scans[scanno];
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delete odometries[scanno];
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}
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if (random_seed)
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{
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delete ((RMHC_SLAM *)slam);
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}
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else
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{
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delete ((Deterministic_SLAM *)slam);
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}
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delete progbar;
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delete mapbytes;
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fclose(output);
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|
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return 0;
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}
|
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@@ -1,175 +0,0 @@
|
||||
%
|
||||
% logdemo.m : BreezySLAM Matlab demo. Reads logfile with odometry and scan
|
||||
% data from Paris Mines Tech and displays the map and robot
|
||||
% position in real time.
|
||||
%
|
||||
% Usage:
|
||||
%
|
||||
% >> logdemo(dataset, [use_odometry], [random_seed])
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%
|
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% Examples:
|
||||
%
|
||||
% >> logdemo('exp2')
|
||||
%
|
||||
% For details see
|
||||
%
|
||||
% @inproceedings{coreslam-2010,
|
||||
% author = {Bruno Steux and Oussama El Hamzaoui},
|
||||
% title = {CoreSLAM: a SLAM Algorithm in less than 200 lines of C code},
|
||||
% booktitle = {11th International Conference on Control, Automation,
|
||||
% Robotics and Vision, ICARCV 2010, Singapore, 7-10
|
||||
% December 2010, Proceedings},
|
||||
% pages = {1975-1979},
|
||||
% publisher = {IEEE},
|
||||
% year = {2010}
|
||||
% }
|
||||
%
|
||||
% Copyright (C) 2014 Simon D. Levy
|
||||
%
|
||||
% This code is free software: you can redistribute it and/or modify
|
||||
% it under the terms of the GNU Lesser General Public License as
|
||||
% published by the Free Software Foundation, either version 3 of the
|
||||
% License, or (at your option) any later version.
|
||||
%
|
||||
% This code 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. See the
|
||||
% GNU General Public License for more details.
|
||||
%
|
||||
% You should have received a copy of the GNU Lesser General Public License
|
||||
% along with this code. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
function logdemo(dataset, use_odometry, seed)
|
||||
|
||||
% Params
|
||||
|
||||
MAP_SIZE_PIXELS = 800;
|
||||
MAP_SIZE_METERS = 32;
|
||||
ROBOT_SIZE_PIXELS = 10;
|
||||
|
||||
% Grab input args
|
||||
|
||||
if nargin < 2
|
||||
use_odometry = 0;
|
||||
end
|
||||
|
||||
if nargin < 3
|
||||
seed = 0;
|
||||
end
|
||||
|
||||
% Load data from file
|
||||
[times, scans, odometries] = load_data(dataset);
|
||||
|
||||
% Build a robot model if we want odometry
|
||||
robot = [];
|
||||
if use_odometry
|
||||
robot = MinesRover();
|
||||
end
|
||||
|
||||
% Create a CoreSLAM object with laser params and optional robot object
|
||||
if seed
|
||||
slam = RMHC_SLAM(MinesLaser(), MAP_SIZE_PIXELS, MAP_SIZE_METERS, seed);
|
||||
else
|
||||
slam = Deterministic_SLAM(MinesLaser(), MAP_SIZE_PIXELS, MAP_SIZE_METERS);
|
||||
end
|
||||
|
||||
% Initialize previous time for delay
|
||||
prevTime = 0;
|
||||
|
||||
% Loop over scans
|
||||
for scanno = 1:size(scans, 1)
|
||||
|
||||
if use_odometry
|
||||
|
||||
% Convert odometry to velocities
|
||||
[velocities,robot] = robot.computePoseChange(odometries(scanno, :));
|
||||
|
||||
% Update SLAM with lidar and velocities
|
||||
slam = slam.update(scans(scanno,:), velocities);
|
||||
|
||||
else
|
||||
|
||||
% Update SLAM with lidar alone
|
||||
slam = slam.update(scans(scanno,:));
|
||||
end
|
||||
|
||||
% Get new position
|
||||
[x_mm, y_mm, theta_degrees] = slam.getpos();
|
||||
|
||||
% Get current map
|
||||
map = slam.getmap();
|
||||
|
||||
% Display map
|
||||
hold off
|
||||
image(map/4) % Keep bytes in [0,64] for colormap
|
||||
axis('square')
|
||||
colormap('gray')
|
||||
hold on
|
||||
|
||||
% Generate a polyline to represent the robot
|
||||
[x_pix, y_pix] = robot_polyline(ROBOT_SIZE_PIXELS);
|
||||
|
||||
% Rotate the polyline based on the robot's angular rotation
|
||||
theta_radians = pi * theta_degrees / 180;
|
||||
x_pix_r = x_pix * cos(theta_radians) - y_pix * sin(theta_radians);
|
||||
y_pix_r = x_pix * sin(theta_radians) + y_pix * cos(theta_radians);
|
||||
|
||||
% Add the robot's position as offset to the polyline
|
||||
x_pix = x_pix_r + mm2pix(x_mm, MAP_SIZE_METERS, MAP_SIZE_PIXELS);
|
||||
y_pix = y_pix_r + mm2pix(y_mm, MAP_SIZE_METERS, MAP_SIZE_PIXELS);
|
||||
|
||||
% Add robot image to map
|
||||
fill(x_pix, y_pix, 'r')
|
||||
drawnow
|
||||
|
||||
% Delay based on current time in microseconds
|
||||
currTime = times(scanno);
|
||||
if scanno > 1
|
||||
pause((currTime-prevTime)/1e6)
|
||||
end
|
||||
prevTime = times(scanno);
|
||||
|
||||
|
||||
end
|
||||
|
||||
% Function to generate a x, y points for a polyline to display the robot
|
||||
% Currently we just generate a triangle.
|
||||
function [x_pix, y_pix] = robot_polyline(robot_size)
|
||||
HEIGHT_RATIO = 1.25;
|
||||
x_pix = [-robot_size, robot_size, -robot_size];
|
||||
y_pix = [-robot_size/HEIGHT_RATIO, 0 , robot_size/HEIGHT_RATIO];
|
||||
|
||||
% Function to convert millimeters to pixels -------------------------------
|
||||
|
||||
function pix = mm2pix(mm, MAP_SIZE_METERS, MAP_SIZE_PIXELS)
|
||||
pix = floor(mm / (MAP_SIZE_METERS * 1000. / MAP_SIZE_PIXELS));
|
||||
|
||||
|
||||
% Function to load all from file ------------------------------------------
|
||||
% Each line in the file has the format:
|
||||
%
|
||||
% TIMESTAMP ... Q1 Q1 ... Distances
|
||||
% (usec) (mm)
|
||||
% 0 ... 2 3 ... 24 ...
|
||||
%
|
||||
%where Q1, Q2 are odometry values
|
||||
|
||||
function [times, scans,odometries] = load_data(dataset)
|
||||
|
||||
data = load([dataset '.dat']);
|
||||
|
||||
times = data(:,1);
|
||||
scans = data(:,25:end-1); % avoid final ' '
|
||||
odometries = data(:,[1,3,4]);
|
||||
|
||||
% Function to build a Laser data structure for the Hokuyo URG04LX used for
|
||||
% collecting the logfile data.
|
||||
|
||||
function laser = MinesLaser()
|
||||
|
||||
laser.scan_size = 682;
|
||||
laser.scan_rate_hz = 10;
|
||||
laser.detection_angle_degrees = 240;
|
||||
laser.distance_no_detection_mm = 4000;
|
||||
laser.detection_margin = 70;
|
||||
laser.offset_mm = 145;
|
||||
Reference in New Issue
Block a user