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How to reduce the time of running when using pathPlannerRRT?

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Hongtao Li
Hongtao Li 2021 年 12 月 10 日
回答済み: Sachin Lodhi 2024 年 2 月 16 日
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

回答 (1 件)

Sachin Lodhi
Sachin Lodhi 2024 年 2 月 16 日
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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