Call the create template function. This function generates a class definition file for you to modify for your own implementation. Save this file.
Class and Property Definition
The first part of the template specifies the class definition and any properties for the class. Derive from the nav.StateValidator
class. You can specify any additional user-defined properties here.
classdef MyCustomStateValidator < nav.StateValidator & ...
matlabshared.planning.internal.EnforceScalarHandle
properties
% User-defined properties
end
Save your custom state validator class and ensure your file name matches the class name.
Class Constructor
Use the constructor to set the name of the state space validator and specify the state space object. Set a default value for the state space if one is not provided. Call the constructor of the base class. Initialize any other user-defined properties. This example uses a default of MyCustomStateSpace
, which was illustrated in the previous example.
methods
function obj = MyCustomStateValidator(space)
narginchk(0,1)
if nargin == 0
space = MyCustomStateSpace;
end
obj@nav.StateValidator(space);
% Initialize user-defined properties
end
Copy Semantics
Specify the copy
method definition. Copy all the values of your user-defined variables into a new object, so copyObj
is a deep copy. The default behavior given in this example creates a new copy of the object with the same type.
function copyObj = copy(obj)
copyObj = feval(class(obj), obj.StateSpace);
end
Check State Validity
Define how a given state is validated. The state
input can either be a single row vector, or a matrix of row vectors for multiple states. Customize this function for any special validation behavior for your state space like collision checking against obstacles.
function isValid = isStateValid(obj, state)
narginchk(2,2);
nav.internal.validation.validateStateMatrix(state, nan, obj.StateSpace.NumStateVariables, ...
"isStateValid", "state");
bounds = obj.StateSpace.StateBounds';
inBounds = state >= bounds(1,:) & state <= bounds(2,:);
isValid = all(inBounds, 2);
end
Check Motion Validity
Define how to generate the motion between states and determine if it is valid. For this example, use linspace
to evenly interpolate between states and check if these states are valid using isStateValid
. Customize this function to sample between states or consider other analytical methods for determining if a vehicle can move between given states.
function [isValid, lastValid] = isMotionValid(obj, state1, state2)
narginchk(3,3);
state1 = nav.internal.validation.validateStateVector(state1, ...
obj.StateSpace.NumStateVariables, "isMotionValid", "state1");
state2 = nav.internal.validation.validateStateVector(state2, ...
obj.StateSpace.NumStateVariables, "isMotionValid", "state2");
if (~obj.isStateValid(state1))
error("statevalidator:StartStateInvalid", "The start state of the motion is invalid.");
end
% Interpolate at a fixed interval between states and check state validity
numInterpPoints = 100;
interpStates = obj.StateSpace.interpolate(state1, state2, linspace(0,1,numInterpPoints));
interpValid = obj.isStateValid(interpStates);
% Look for invalid states. Set lastValid state to index-1.
firstInvalidIdx = find(~interpValid, 1);
if isempty(firstInvalidIdx)
isValid = true;
lastValid = state2;
else
isValid = false;
lastValid = interpStates(firstInvalidIdx-1,:);
end
end
Terminate the methods and class sections.
Save your state space validator class definition. You can now use the class constructor to create an object for validation of states for a given state space.