tutorial2.cpp

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/*
 * Copyright 2010 SRI International
 *
 * This program 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 program 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 Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
 
#include "SpaSolver.h"
 
#include <open_karto/Mapper.h>
 
karto::Dataset* CreateMap(karto::Mapper* pMapper)
{
  karto::Dataset* pDataset = new karto::Dataset();
 
  // Create a laser range finder device - use SmartPointer to let karto subsystem manage memory.
  karto::Name name("laser0");
  karto::LaserRangeFinder* pLaserRangeFinder = karto::LaserRangeFinder::CreateLaserRangeFinder(karto::LaserRangeFinder_Custom, name);
  pLaserRangeFinder->SetOffsetPose(karto::Pose2(1.0, 0.0, 0.0));
  pLaserRangeFinder->SetAngularResolution(karto::math::DegreesToRadians(0.5));
  pLaserRangeFinder->SetRangeThreshold(12.0);
 
  pDataset->Add(pLaserRangeFinder);
 
  // Create three localized range scans, all using the same range readings, but with different poses. 
  karto::LocalizedRangeScan* pLocalizedRangeScan = NULL;
 
  // 1. localized range scan
 
  // Create a vector of range readings. Simple example where all the measurements are the same value.
  std::vector<kt_double> readings;
  for (int i=0; i<361; i++)
  {
    readings.push_back(3.0);
  }
  
  // create localized range scan
  pLocalizedRangeScan = new karto::LocalizedRangeScan(name, readings);
  pLocalizedRangeScan->SetOdometricPose(karto::Pose2(0.0, 0.0, 0.0));
  pLocalizedRangeScan->SetCorrectedPose(karto::Pose2(0.0, 0.0, 0.0));
 
  // Add the localized range scan to the mapper
  pMapper->Process(pLocalizedRangeScan);
  std::cout << "Pose: " << pLocalizedRangeScan->GetOdometricPose() << " Corrected Pose: " << pLocalizedRangeScan->GetCorrectedPose() << std::endl;
 
  // Add the localized range scan to the dataset
  pDataset->Add(pLocalizedRangeScan);
 
  // 2. localized range scan
 
  // create localized range scan
  pLocalizedRangeScan = new karto::LocalizedRangeScan(name, readings);
  pLocalizedRangeScan->SetOdometricPose(karto::Pose2(1.0, 0.0, 1.57));
  pLocalizedRangeScan->SetCorrectedPose(karto::Pose2(1.0, 0.0, 1.57));
 
  // Add the localized range scan to the mapper
  pMapper->Process(pLocalizedRangeScan);
  std::cout << "Pose: " << pLocalizedRangeScan->GetOdometricPose() << " Corrected Pose: " << pLocalizedRangeScan->GetCorrectedPose() << std::endl;
 
  // Add the localized range scan to the dataset
  pDataset->Add(pLocalizedRangeScan);
 
  // 3. localized range scan
 
  // create localized range scan
  pLocalizedRangeScan = new karto::LocalizedRangeScan(name, readings);
  pLocalizedRangeScan->SetOdometricPose(karto::Pose2(1.0, -1.0, 2.35619449));
  pLocalizedRangeScan->SetCorrectedPose(karto::Pose2(1.0, -1.0, 2.35619449));
 
  // Add the localized range scan to the mapper
  pMapper->Process(pLocalizedRangeScan);
  std::cout << "Pose: " << pLocalizedRangeScan->GetOdometricPose() << " Corrected Pose: " << pLocalizedRangeScan->GetCorrectedPose() << std::endl;
 
  // Add the localized range scan to the dataset
  pDataset->Add(pLocalizedRangeScan);
 
  return pDataset;
}
 
karto::OccupancyGrid* CreateOccupancyGrid(karto::Mapper* pMapper, kt_double resolution)
{
  std::cout << "Generating map..." << std::endl;
 
  // Create a map (occupancy grid) - time it
  karto::OccupancyGrid* pOccupancyGrid = karto::OccupancyGrid::CreateFromScans(pMapper->GetAllProcessedScans(), resolution);
 
  return pOccupancyGrid;
}
 
void PrintOccupancyGrid(karto::OccupancyGrid* pOccupancyGrid)
{
  if (pOccupancyGrid != NULL)
  {
    // Output ASCII representation of map
    kt_int32s width = pOccupancyGrid->GetWidth();
    kt_int32s height = pOccupancyGrid->GetHeight();
    karto::Vector2<kt_double> offset = pOccupancyGrid->GetCoordinateConverter()->GetOffset();
 
    std::cout << "width = " << width << ", height = " << height << ", scale = " << pOccupancyGrid->GetCoordinateConverter()->GetScale() << ", offset: " << offset.GetX() << ", " << offset.GetY() << std::endl;
    for (kt_int32s y=height-1; y>=0; y--)
    {
      for (kt_int32s x=0; x<width; x++) 
      {
        // Getting the value at position x,y
        kt_int8u value = pOccupancyGrid->GetValue(karto::Vector2<kt_int32s>(x, y));
 
        switch (value)
        {
        case karto::GridStates_Unknown:
          std::cout << "*";
          break;
        case karto::GridStates_Occupied:
          std::cout << "X";
          break;
        case karto::GridStates_Free:
          std::cout << " ";
          break;
        default:
          std::cout << "?";
        }
      }
      std::cout << std::endl;
    }
    std::cout << std::endl;
  }
}
 
int main(int /*argc*/, char **/*argv*/)
{
  // use try/catch to catch karto exceptions that might be thrown by the karto subsystem. 
  // Get karto default mapper
  karto::Mapper* pMapper = new karto::Mapper();
  if (pMapper != NULL)
  {
    // set solver
    SpaSolver* pSolver = new SpaSolver();
    pMapper->SetScanSolver(pSolver);
 
    karto::OccupancyGrid* pOccupancyGrid = NULL;
 
    // sample code that creates a map from sample device and sample localized range scans
 
    // clear mapper
    pMapper->Reset();
 
    // create map from created dataset
    karto::Dataset* pDataset = CreateMap(pMapper);
 
    // create occupancy grid at 0.1 resolution and print grid
    pOccupancyGrid = CreateOccupancyGrid(pMapper, 0.1);
    PrintOccupancyGrid(pOccupancyGrid);
    delete pOccupancyGrid;
 
    // delete solver
    delete pSolver;
 
    // delete mapper
    delete pMapper;
 
    // delete dataset and all allocated devices and device states
    delete pDataset;
  }
 
  return 0;
}