gmapping算法的MATLAB实现

来源：互联网发布：纵向数据分析方法编辑：程序博客网时间：2024/06/14 17:07

首先给出在matalab中实现地图的创建与轨迹的给定：

从上面可以看出黑线画的是地图，红线画的是要跟踪的轨迹代码如下：

% %Wall Exterior
map(:,1) = [80; 20; 210; 20];
map(:,2) = [210; 20; 210; 230];
map(:,3) = [210; 230; 80; 230];
map(:,4) = [80; 230; 80; 170];
map(:,5) = [80; 170; 20; 170];
map(:,6) = [20; 170; 20; 80];
map(:,7) = [20; 80; 80; 80];
map(:,8) = [80; 80; 80; 20];
%Wall Interior
map(:,9) = [110; 50; 180; 50];
map(:,10) = [180; 50; 180; 200];
map(:,11) = [180; 200; 110; 200];
map(:,12) = [110; 200; 110; 170];
map(:,13) = [110; 170; 170; 170];
map(:,14) = [170; 170; 170; 80];
map(:,15) = [170; 80; 110; 80];
map(:,16) = [110; 80; 110; 50];
%Wall Interior
map(:,17) = [50; 110; 140; 110];
map(:,18) = [140; 110; 140; 140];
map(:,19) = [140; 140; 50; 140];
map(:,20) = [50; 140; 50; 110];

%plot map
figure(1)
clf
hold on
for d = 1:size(map,2)
plot([map(1,d) map(3,d)],[map(2,d) map(4,d)],'k')
end
via = [100,35; 185,35; 185,40; 190,45; 195,50; 195,200; 190,205; 185,210; 180,215; 110,215; 105,195; 100,190; 95,185; ...
95,170; 90,165; 85,160; 80, 155; 50,155; 45, 150; 40,145; 35,140; 35,110; 40,105; 45, 100; 50,95; 140,95; 145,100; ...
150,105; 155,110; 155,140; 150,145; 145,150; 140,155; 50,155; 45, 150; 30,145; 35,140; 35,110; 40,105; ...
45,100; 50,95; 80,95; 85,90; 90,85; 95,80; 95,35];
hold on
plot(via(:,1),via(:,2),'-r')

欢迎大家一起来讨论地图构建算法研究

阅读全文

0 0