필터 지우기
필터 지우기

How to reduce the time of running when using pathPlannerRRT?

조회 수: 3 (최근 30일)
Hongtao Li
Hongtao Li 2021년 12월 10일
답변: Sachin Lodhi 2024년 2월 16일
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

답변 (1개)

Sachin Lodhi
Sachin Lodhi 2024년 2월 16일
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

카테고리

Help CenterFile Exchange에서 Motion Planning에 대해 자세히 알아보기

제품


릴리스

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by