plan
Syntax
Description
The plan
function returns a coverage path that enables
you to optimally surveys a geographical area with a UAV for precision agriculture and image
mapping applications.
[___] = plan(___,VerboseMode=
specifies the diagnostic printing mode.mode
)
Examples
Plan Coverage Path Using Geodetic Coordinates
This example shows how to plan a coverage path that surveys the parking lots of the MathWorks Lakeside campus.
Get the geodetic coordinates for the MathWorks Lakeside campus. Then create the limits for our map.
mwLS = [42.3013 -71.375 0]; latlim = [mwLS(1)-0.003 mwLS(1)+0.003]; lonlim = [mwLS(2)-0.003 mwLS(2)+0.003];
Create a figure containing the map with the longitude and latitude limits.
fig = figure;
g = geoaxes(fig,Basemap="satellite");
geolimits(latlim,lonlim)
Get the outline of the first parking lot in longitude and latitude coordinates. Then create the polygon by concatenating them.
pl1lat = [42.3028 42.30325 42.3027 42.3017 42.3019]'; pl1lon = [-71.37527 -71.37442 -71.3736 -71.37378 -71.375234]'; pl1Poly = [pl1lat pl1lon];
Repeat the process for the second parking lot.
pl2lat = [42.30035 42.2999 42.2996 42.2999]'; pl2lon = [-71.3762 -71.3734 -71.37376 -71.37589]'; pl2poly = [pl2lat pl2lon];
Create the coverage space with both of those polygons, set the coverage space to use geodetic coordinates, and set the reference location to the MathWorks Lakeside campus location.
cs = uavCoverageSpace(Polygons={pl1Poly,pl2poly},UseLocalCoordinates=false,ReferenceLocation=mwLS);
Set the height at which to fly the UAV to 25 meters, and the sensor footprint width to 20 meters. Then show the coverage space on the map.
ReferenceHeight = 25; cs.UnitWidth = 20; show(cs,Parent=g);
Set the sweep angle for polygons 1 and 2 to 85
and 5
degrees, respectively, to have paths that are parallel to the roads in the parking lots. Then create the coverage planner for that coverage space with the exhaustive solver algorithm.
setCoveragePattern(cs,1,SweepAngle=85)
setCoveragePattern(cs,2,SweepAngle=5)
cp = uavCoveragePlanner(cs,Solver="Exhaustive");
Set the takeoff position to a location in the courtyard, then plan the coverage path.
takeoff = [42.30089 -71.3752, 0]; [wp,soln] = plan(cp,takeoff); hold on geoplot(wp(:,1),wp(:,2),LineWidth=1.5); geoplot(takeoff(1),takeoff(2),MarkerSize=25,Marker=".") legend("","","Path","Takeoff/Landing") hold off
Plan Coverage Path for Defined Region
This example shows how to plan a coverage path for a region in local coordinates and compares the results of using the exhaustive solver with the results of using the minimum traversal solver.
Define the vertices for a coverage space.
area = [5 8.75; 5 27.5; 17.5 22.5; 25 31.25; 35 31.25; 30 20; 15 6.25];
Because vertices define a concave polygon and the coverage planner requires convex polygons, decompose the polygon into convex polygons. Then create a coverage space with the polygons from decomposition.
polygons = coverageDecomposition(area); cs = uavCoverageSpace(Polygons=polygons);
Define the takeoff and landing positions at [0 0 0]
and [32.25 37.25 0]
, respectively. Then show the coverage space and plot the takeoff and landing positions.
takeoff = [0 0 0]; landing = [32.25 37.25 0]; show(cs); exampleHelperPlotTakeoffLandingLegend(takeoff,landing)
Create a coverage planner with the exhaustive solver algorithm and another coverage planner with a minimum traversal solver algorithm. Because Polygon 2
is closer to the takeoff position, set the visiting sequence of the solver parameters such that we traverse Polygon 2
first.
cpeExh = uavCoveragePlanner(cs,Solver="Exhaustive"); cpMin = uavCoveragePlanner(cs,Solver="MinTraversal"); cpeExh.SolverParameters.VisitingSequence = [2 1]; cpMin.SolverParameters.VisitingSequence = [2 1];
Plan with both solver algorithms using the same takeoff and landing positions.
[wptsExh,solnExh] = plan(cpeExh,takeoff,landing); [wptsMin,solnMin] = plan(cpMin,takeoff,landing);
Show the planned path for both the exhaustive and the minimum traversal algorithms.
figure
show(cs);
title("Exhaustive Solver Algorithm")
exampleHelperPlotTakeoffLandingLegend(takeoff,landing,wptsExh)
figure
show(cs);
title("Minimum Traversal Solver Algorithm")
exampleHelperPlotTakeoffLandingLegend(takeoff,landing,wptsMin)
Export the waypoints from the minimum traversal solver to a .waypoints
file with the reference frame set to north-east-down.
exportWaypointsPlan(cpMin,solnMin,"coveragepath.waypoints",ReferenceFrame="NED")
Input Arguments
planner
— Coverage path planner
uavCoveragePlanner
object
Coverage path planner, specified as a uavCoveragePlanner
object.
takeoff
— UAV takeoff position
three-element row vector
UAV takeoff position, specified as a three-element row vector.
The format depends on the UseLocalCoordinates
property of the CoverageSpace
property of planner
:
When
UseLocalCoordinates
istrue
the format is local xyz-coordinates in the form [x y z], in meters.UseLocalCoordinates
is true by default.When
UseLocalCoordinates
isfalse
the format is geodetic coordinates in the form [latitude longitude altitude]. latitude and longitude are in degrees, and altitude is in meters.
Data Types: double
landing
— UAV landing position
three-element row vector
UAV landing position, specified as a three-element row vector.
The format depends on the UseLocalCoordinates
property of the CoverageSpace
property of planner
:
UseLocalCoordinates=true
— Format is local xyz-coordinates in the form [x y z], in meters.UseLocalCoordinates
is true by default.UseLocalCoordinates=false
— Format is geodetic coordinates in the form [latitude longitude altitude]. latitude and longitude are in degrees, and altitude is in meters.
Data Types: double
mode
— Verbose mode
false
or 0
(default) | true
or 1
Verbose mode, specified as true
or (1
) to
output diagnostic information about the planning algorithm to the Command Window, or
false
or (0
) to output no information.
Output Arguments
path
— Waypoint path
N-by-2 matrix
Waypoint path, specified as a N-by-2 matrix.
The format depends on the UseLocalCoordinates
property of the CoverageSpace
property of planner
:
UseLocalCoordinates=true
— Format is local xy-coordinates in the form [x y], in meters.UseLocalCoordinates
is true by default.UseLocalCoordinates=false
— Format is geodetic coordinates in the form [latitude longitude]. latitude and longitude are in degrees.
solninfo
— Solution information
structure
Solution plan, returned as a structure containing these fields:
VisitingSequence
— N-element row vector denoting the order of visitation of polygons, where N is the total number of polygons in the coverage space. For example,[2 1 3]
specifies that the UAV should visit polygon 2 first, polygon 1 second, and polygon 3 last.SweepPattern
— N-element row vector of integers denoting the sweep pattern for each polygon, where N is the total number of polygons in the coverage space. Each element is an integer in the range [1, 4] that indicates a sweep pattern:1
— Forward sweep pattern2
— Counter-clockwise sweep pattern3
— Reverse sweep pattern4
— Reverse counter-clockwise sweep pattern
For example,
[3 1 2]
specifies that the UAV should use the reverse sweep pattern for polygon 1, the forward sweep pattern for polygon 2, and the counter-clockwise sweep pattern for polygon 3.TransitionCost
— Euclidean distance cost for transitioning between polygons including takeoff and landing distance.Takeoff
— Takeoff location, specified as a three-element row vector in LLA format.Landing
— Takeoff location, specified as a three-element row vector in LLA format.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Generating code containing the plan
requires you to enable dynamic memory allocation. For more information about enabling dynamic memory allocation, see Set Dynamic Memory Allocation Threshold (MATLAB Coder).
Deploying to embedded real time (ERT) targets is not supported.
Version History
Introduced in R2023aR2023b: Code generation support with dynamic memory allocation
plan
now supports code generation with dynamic memory allocation enabled. For more information about enabling dynamic memory allocation, see Set Dynamic Memory Allocation Threshold (MATLAB Coder).
Deploying to embedded real time (ERT) targets is not supported.
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