Create a 10 m-by-10 m empty map.

map = occupancyMap(10,10,10);

Update the occupancy of world locations with specific probability values and display the map.

x = [1.2; 2.3; 3.4; 4.5; 5.6];
y = [5.0; 4.0; 3.0; 2.0; 1.0];

pvalues = [0.2 0.4 0.6 0.8 1];

updateOccupancy(map,[x y],pvalues)
figure
show(map)

Inflate occupied areas by a radius of 0.5 m. Larger occupancy values overwrite the smaller values.

inflate(map,0.5)
figure
show(map)

Get grid locations from world locations.

ij = world2grid(map,[x y]);

Set grid locations to occupied locations.

setOccupancy(map,ij,ones(5,1),'grid')
figure
show(map)

Convert a portable graymap (PGM) file containing a ROS map into an occupancyMap for use in MATLAB.

Import the image using imread. Crop the image to the playpen area.

image = imread('playpen_map.pgm');
imageCropped = image(750:1250,750:1250);
imshow(imageCropped)

PGM values are expressed from 0 to 255 as uint8. Normalize these values by converting the cropped image to double and dividing each cell by 255. This image shows obstacles as values close to 0. Subtract the normalized image from 1 to get occupancy values with 1 representing occupied space.

imageNorm = double(imageCropped)/255;
imageOccupancy = 1 - imageNorm;

Create the occupancyMap object using an adjusted map image. The imported map resolution is 20 cells per meter.

map = occupancyMap(imageOccupancy,20);
show(map)