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RFIDGridmap.cpp
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RFIDGridmap.cpp
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#include "RFIDGridmap.h"
RFIDGridmap::RFIDGridmap(std::string fileURI, double mapResolution,
double gridResolution, bool debug)
: global_frame_("world"), layer_name_("rfid"), format_("mono8") {
ROS_DEBUG("[RFIDGridmap.cpp@main] Creating RFIDGridmap");
debug_ = debug;
createGrid(RFIDGridmap_, layer_name_, fileURI, mapResolution, gridResolution,
debug_, global_frame_, format_);
ROS_DEBUG("[RFIDGridmap.cpp@main] grid created");
};
RFIDGridmap::RFIDGridmap(std::string fileURI, double mapResolution,
double gridResolution)
: RFIDGridmap::RFIDGridmap(fileURI, mapResolution, gridResolution, true){};
void RFIDGridmap::saveAs(std::string fileURI) {
saveLayer(RFIDGridmap_, layer_name_, fileURI, debug_, format_);
};
void RFIDGridmap::addEllipse(double likelihood, double poseX, double poseY,
double poseHeading, double minX, double maxX) {
addEllipse(RFIDGridmap_, layer_name_, likelihood, poseX, poseY, poseHeading,
minX, maxX, debug_);
};
void RFIDGridmap::addCircle(double likelihood, double poseX, double poseY,
double poseR) {
addCircle(RFIDGridmap_, layer_name_, likelihood, poseX, poseY, poseR, debug_);
};
void RFIDGridmap::addLine(double likelihood, double X1, double Y1, double X2,
double Y2) {
addLine(RFIDGridmap_, layer_name_, likelihood, X1, Y1, X2, Y2, debug_);
};
double RFIDGridmap::getCell(int i, int j) {
return getCell(RFIDGridmap_, layer_name_, i, j, debug_);
};
void RFIDGridmap::setCell(double val, int i, int j) {
setCell(RFIDGridmap_, layer_name_, val, i, j, debug_);
};
double RFIDGridmap::getPosition(double x, double y) {
return getPosition(RFIDGridmap_, layer_name_, x, y, debug_);
};
void RFIDGridmap::setPosition(double val, double x, double y) {
setPosition(RFIDGridmap_, layer_name_, val, x, y, debug_);
};
long RFIDGridmap::getNumCols() { return RFIDGridmap_.getSize()(1); }
long RFIDGridmap::getNumRows() { return RFIDGridmap_.getSize()(0); }
// Internal functions to handle gridmap. .......................................
void RFIDGridmap::createGrid(grid_map::GridMap &map_, std::string layerName,
std::string fileURI, double mapResolution,
double gridResolution, bool debug,
std::string global_frame, std::string format) {
// load map file into a gridmap ..............................................
// debug
if (debug) {
std::cout << "Using file [" << fileURI << "]\n";
}
// 2D position of the grid map in the grid map frame [m].
double orig_x;
double orig_y;
// grid size in pixels
double num_rows;
double num_cols;
// cell value ranges
double minValue;
double maxValue;
// load an image from cv
if (debug) {
std::cout << "Loading image into cv mat. \n";
}
cv::Mat imageCV = cv::imread(fileURI, CV_LOAD_IMAGE_UNCHANGED);
num_rows = imageCV.rows;
num_cols = imageCV.cols;
// orig will be placed at bottom left position
orig_x = num_rows * mapResolution / 2.0;
orig_y = -num_cols * mapResolution / 2.0;
cv::minMaxLoc(imageCV, &minValue, &maxValue);
if (debug) {
std::cout << "Image size [" << num_rows << ", " << num_cols << "]\n";
std::cout << "Min, max values [" << minValue << ", " << maxValue << "]\n";
std::cout << "Channels [" << imageCV.channels() << "]\n";
std::cout << "Encoding [" << type2str(imageCV.type()) << "]\n";
}
// create empty grid map
if (debug) {
std::cout << "Creating empty grid \n";
}
grid_map::GridMap tempMap(vector<string>({std::string(layerName)}));
tempMap.setGeometry(Length(num_rows, num_cols), mapResolution,
Position(orig_x, orig_y));
tempMap.setFrameId(global_frame);
tempMap.clearAll();
// Convert cv image to grid map.
if (debug) {
std::cout << "Storing cv mat into emtpy grid \n";
}
sensor_msgs::ImagePtr imageROS =
cv_bridge::CvImage(std_msgs::Header(), format, imageCV).toImageMsg();
GridMapRosConverter::addLayerFromImage(*imageROS, layerName, tempMap);
// binarize: mark obstacles
// If the value in the map is below 250, set it to 1 to represent a free
if (debug) {
std::cout << "Binarize occupancy probs. \n";
}
double countOnes = 0;
double countZeros = 0;
// note. For some reason, upon creating the grid, it casts from [0,255] to
// [0,1]. So instead of looking for 250, look for 250/255~0.98
for (grid_map::GridMapIterator iterator(tempMap); !iterator.isPastEnd();
++iterator) {
if (tempMap.at(layerName, *iterator) < 0.98) {
tempMap.at(layerName, *iterator) = 1;
countOnes++;
} else {
tempMap.at(layerName, *iterator) = 0;
countZeros++;
}
}
if (debug) {
std::cout << 100 * countOnes / (countOnes + countZeros)
<< " % of cells are obstcles \n";
std::cout << 100 * countZeros / (countOnes + countZeros)
<< " % of cells are empty \n";
}
// change gridmap resolution from mapResolution to gridResolution
if (debug) {
std::cout << "Changing grid resolution. \n";
}
GridMapCvProcessing::changeResolution(tempMap, map_, gridResolution);
};
void RFIDGridmap::addEllipse(grid_map::GridMap &map_, std::string layerName,
double likelihood, double antennaX,
double antennaY, double antennaHeading,
double minX, double maxX, bool debug) {
// 1.- Get elipsoid iterator.
// Antenna is at one of the focus of the ellipse with center at antennaX,
// antennaY, tilted antennaHeading .
// http://www.softschools.com/math/calculus/finding_the_foci_of_an_ellipse/
// if a is mayor axis and b is minor axis
// a-c= minX
// a+c= maxX
// a = (maxX + minX)/2
// c = maxX/2 + minX
// b = sqrt(a^2-c^2)
// mirror y axis!!!!
// antennaX = -antennaX;
antennaY = -antennaY;
antennaHeading = -antennaHeading;
double a = (abs(maxX) + abs(minX)) / 2.0;
double c = (abs(maxX) - abs(minX)) / 2;
double b = sqrt((a * a) - (c * c));
double xc = antennaX + (c * cos(antennaHeading));
double yc = antennaY + (c * sin(antennaHeading));
Position center(xc, yc); // meters
Length length(2 * a, 2 * b);
for (grid_map::EllipseIterator iterator(map_, center, length, antennaHeading);
!iterator.isPastEnd(); ++iterator) {
// map_.at(layerName, *iterator)=0.5;
if (!isnan(map_.at(layerName, *iterator))) {
map_.at(layerName, *iterator) += likelihood;
} else {
map_.at(layerName, *iterator) = likelihood;
}
}
// debug
if (debug) {
std::cout << "Ellipse data \n";
std::cout << "maxX = " << maxX << "\n";
std::cout << "minX = " << minX << "\n";
std::cout << "Axes [ " << a << ", " << b << ", " << c << " ]\n";
std::cout << "Focal point [ " << antennaX << ", " << antennaY << " ]\n";
std::cout << "Centre [ " << xc << ", " << yc << " ]\n";
// CAREFUL!!!
// Position focal(antennaX, antennaY); // meters
// grid_map::Index cIndex;
// map_.getIndex(focal,cIndex);
// map_.at(layerName, cIndex)=0.0;
}
};
void RFIDGridmap::addLine(grid_map::GridMap &map_, std::string layerName,
double likelihood, double X1, double Y1, double X2,
double Y2, bool debug) {
// mirror y axis!!!
Y1 = -Y1;
Y2 = -Y2;
grid_map::Index start;
grid_map::Index end;
map_.getIndex(Position(X1, Y1), start);
map_.getIndex(Position(X2, Y2), end);
for (grid_map::LineIterator iterator(map_, start, end); !iterator.isPastEnd();
++iterator) {
if (!isnan(map_.at(layerName, *iterator))) {
map_.at(layerName, *iterator) += likelihood;
} else {
map_.at(layerName, *iterator) = likelihood;
}
}
};
void RFIDGridmap::addCircle(grid_map::GridMap &map_, std::string layerName,
double likelihood, double X, double Y, double R,
bool debug) {
// necessary mirroring ...
Y = -Y;
Position center(X, Y);
for (grid_map::CircleIterator iterator(map_, center, R);
!iterator.isPastEnd(); ++iterator) {
if (!isnan(map_.at(layerName, *iterator))) {
map_.at(layerName, *iterator) += likelihood;
} else {
map_.at(layerName, *iterator) = likelihood;
}
}
};
void RFIDGridmap::saveLayer(grid_map::GridMap map_, std::string layerName,
std::string fileURI, bool debug,
std::string format) {
if (debug) {
std::cout << "Reconverting into ros msg"
<< "\n";
}
double min = INFINITY;
double max = -INFINITY;
double val;
// find max and min
for (grid_map::GridMapIterator iterator(map_); !iterator.isPastEnd();
++iterator) {
val = map_.at(layerName, *iterator);
if (val < min) {
min = val;
}
if (val > max) {
max = val;
}
}
// and map everything between 0 and 1
for (grid_map::GridMapIterator iterator(map_); !iterator.isPastEnd();
++iterator) {
val = (map_.at(layerName, *iterator) - min) / (max - min);
map_.at(layerName, *iterator) = val;
}
sensor_msgs::Image imageROSout;
GridMapRosConverter::toImage(map_, layerName, format, imageROSout);
if (debug) {
std::cout << "Reconverting into cv"
<< "\n";
}
cv_bridge::CvImagePtr imageCVout;
imageCVout = cv_bridge::toCvCopy(imageROSout, format);
if (debug) {
std::cout << "And saving as [" << fileURI << "]\n";
}
cv::imwrite(fileURI, imageCVout->image);
};
double RFIDGridmap::getCell(grid_map::GridMap &map_, std::string layerName,
int i, int j, bool debug) {
grid_map::Index index(i, j);
double val = map_.at(layerName, index);
return val;
};
void RFIDGridmap::setCell(grid_map::GridMap &map_, std::string layerName,
double value, int i, int j, bool debug) {
grid_map::Index index(i, j);
map_.at(layerName, index) = value;
};
double RFIDGridmap::getPosition(grid_map::GridMap &map_, std::string layerName,
double x, double y, bool debug) {
Position focal(x, y);
grid_map::Index index;
map_.getIndex(focal, index);
double val = map_.at(layerName, index);
return val;
};
void RFIDGridmap::setPosition(grid_map::GridMap &map_, std::string layerName,
double value, double x, double y, bool debug) {
Position focal(x, y);
grid_map::Index index;
map_.getIndex(focal, index);
map_.at(layerName, index) = value;
};
// Auxiliary functions.........................................................
string RFIDGridmap::type2str(int type) {
string r;
uchar depth = type & CV_MAT_DEPTH_MASK;
uchar chans = 1 + (type >> CV_CN_SHIFT);
switch (depth) {
case CV_8U:
r = "8U";
break;
case CV_8S:
r = "8S";
break;
case CV_16U:
r = "16U";
break;
case CV_16S:
r = "16S";
break;
case CV_32S:
r = "32S";
break;
case CV_32F:
r = "32F";
break;
case CV_64F:
r = "64F";
break;
default:
r = "User";
break;
}
r += "C";
r += (chans + '0');
return r;
};