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How to reduce the time of running when using pathPlannerRRT?

3 visualizaciones (últimos 30 días)
Hongtao Li
Hongtao Li el 10 de Dic. de 2021
Respondida: Sachin Lodhi el 16 de Feb. de 2024
clc; clear all; close all;
tic
profile on
mapWidth = 35;
mapLength = 40;
costVal = 0.1;
cellSize = 0.5;
startPose = [5, 5, 90]; % [meters, meters, degrees]
goalPose = [31, 17, 90];
costmap = vehicleCostmap(mapWidth,mapLength,costVal,'CellSize',cellSize);
L = 4.7;
W = 1.8;
H = 1.4;
FrontOverhang = 0;
RearOverhang = L/2;
vehicleDims = vehicleDimensions(L, W, H, 'FrontOverhang', FrontOverhang, 'RearOverhang', RearOverhang); % 4.5 m long, 1.7 m wide
numCircles = 3;
ccConfig = inflationCollisionChecker(vehicleDims,numCircles);
costmap.CollisionChecker = ccConfig;
[x,y] = meshgrid(25:0.5:27,12:0.5:14);
xyPoints = [x(:),y(:)];
costVal = 0.9;
setCosts(costmap,xyPoints,costVal);
[x2,y2] = meshgrid(10:0.5:32,0:0.5:8);
xyPoints2 = [x2(:),y2(:)];
setCosts(costmap,xyPoints2,costVal);
[x3,y3] = meshgrid(33:0.5:35,12:0.5:14);
xyPoints3 = [x3(:),y3(:)];
setCosts(costmap,xyPoints3,costVal)
[x4,y4] = meshgrid(15:0.5:20,12:0.5:14);
xyPoints4 = [x4(:),y4(:)];
setCosts(costmap,xyPoints4,costVal)
plot(costmap);
isPathValid = false;
kk = 1;
while (isPathValid == 0) && (kk < 15)
planner = pathPlannerRRT(costmap, 'ApproximateSearch', false, 'MaxIterations', 1e4, 'MinTurningRadius', 3, 'ConnectionDistance', 10);
refPath = plan(planner,startPose,goalPose);
isPathValid = checkPathValidity(refPath,costmap);
kk = kk + 1;
end
transitionPoses = interpolate(refPath);
hold on
plot(refPath,'DisplayName','Planned Path')
scatter(transitionPoses(:,1),transitionPoses(:,2),[],'filled', ...
'DisplayName','Transition Poses')
hold off
p = profile('info')
save myprofiledata p
toc

Respuestas (1)

Sachin Lodhi
Sachin Lodhi el 16 de Feb. de 2024
Hello Hongtao, it appears that you are facing extended processing times with your code and are interested in strategies to decrease it. To shorten the execution time of the provided code, adjusting certain parameter values may be necessary.
An additional optimization tactic, once the goal has been achieved, involves lowering the limit on the number of iterations and enlarging the maximum allowable distance for connections. Currently, your maximum iterations are set at 10,000; by diminishing this value, you could potentially lessen the execution time.
For further details, you can consult the following link: https://www.mathworks.com/help/nav/ref/plannerrrtstar.html#d126e155691

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