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66cb6a9fe3
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66cb6a9fe3 | |||
5d2b4d951a |
144
RTT/RTT.m
Normal file
144
RTT/RTT.m
Normal file
@ -0,0 +1,144 @@
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function path = rtt(map, start, goal)
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maxIterations = 5000;
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stepSize = 5;
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goalThreshold = 5; % 这里用行列坐标距离阈值
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mapSize = size(map);
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% 初始化树,存储节点和父节点索引
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tree.nodes = start;
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tree.parents = 0;
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for i = 1:maxIterations
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% 采样随机点
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randPoint = sampler(mapSize, goal);
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% 找到最近树节点
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[nearestIdx, nearestPoint] = find_nearest(tree.nodes, randPoint);
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% 局部规划器扩展新节点
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newPoint = local_planner(map, nearestPoint, randPoint, stepSize);
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% 如果无法扩展则跳过
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if isempty(newPoint)
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continue;
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end
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% 加入树
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tree.nodes = [tree.nodes; newPoint];
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tree.parents = [tree.parents; nearestIdx];
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% 判断是否到达目标
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if norm(newPoint - goal) < goalThreshold
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tree.nodes = [tree.nodes; goal];
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tree.parents = [tree.parents; size(tree.nodes, 1) - 1];
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path = make_path(tree);
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return;
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end
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end
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% 没有找到路径,返回空数组
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path = [];
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end
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function point = sampler(mapSize, goal)
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% 10%概率采样目标点,90%概率采样随机点
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if rand() < 0.1
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point = goal;
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else
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point = round([rand()*mapSize(1), rand()*mapSize(2)]);
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% 保证点不越界
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point(1) = max(min(point(1), mapSize(1)), 1);
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point(2) = max(min(point(2), mapSize(2)), 1);
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end
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end
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function [idx, nearest] = find_nearest(nodes, point)
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% 计算所有节点到point的距离,返回最近节点的索引和坐标
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dists = vecnorm(nodes - point, 2, 2);
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[~, idx] = min(dists);
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nearest = nodes(idx, :);
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end
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function newPoint = local_planner(map, nearestPoint, randPoint, stepSize)
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% 沿着方向扩展,检查碰撞和越界
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direction = randPoint - nearestPoint;
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if norm(direction) == 0
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newPoint = [];
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return;
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end
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direction = direction / norm(direction);
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newPoint = round(nearestPoint + direction * stepSize);
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% 越界检测
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if newPoint(1) < 1 || newPoint(2) < 1 || ...
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newPoint(1) > size(map, 1) || newPoint(2) > size(map, 2)
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newPoint = [];
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return;
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end
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% 碰撞检测(用简单连线检测)
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if isCollision(map, nearestPoint, newPoint)
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newPoint = [];
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return;
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end
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end
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function collision = isCollision(map, p1, p2)
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% 使用Bresenham算法检查两点间是否碰撞
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linePts = bresenham(p1, p2);
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collision = false;
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for i = 1:size(linePts,1)
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pt = linePts(i,:);
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if map(pt(1), pt(2)) == 1
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collision = true;
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return;
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end
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end
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end
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function pts = bresenham(p1, p2)
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% Bresenham直线算法实现
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x1 = p1(1); y1 = p1(2);
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x2 = p2(1); y2 = p2(2);
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dx = abs(x2 - x1); dy = abs(y2 - y1);
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sx = sign(x2 - x1); sy = sign(y2 - y1);
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err = dx - dy;
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pts = [];
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while true
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pts = [pts; x1, y1];
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if x1 == x2 && y1 == y2
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break;
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end
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e2 = 2*err;
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if e2 > -dy
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err = err - dy;
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x1 = x1 + sx;
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end
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if e2 < dx
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err = err + dx;
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y1 = y1 + sy;
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end
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end
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end
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function path = make_path(tree)
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% 通过父节点回溯路径
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path = tree.nodes(end, :);
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idx = size(tree.nodes, 1);
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while tree.parents(idx) ~= 0
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idx = tree.parents(idx);
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path = [tree.nodes(idx, :); path];
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end
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% 打印路径
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if ~isempty(path)
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disp('路径为:');
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for i = 1:size(path, 1)
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fprintf('(%d, %d)\n', path(i, 2), path(i, 1));
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end
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else
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disp('未找到路径。');
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end
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end
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@ -13,7 +13,7 @@ map = [0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0; % 1
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1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0; %10
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1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0; %10
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0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0; %11
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0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0; %11
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0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0; %12
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0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0; %12
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %13
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0; %13
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %14
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %14
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %15
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %15
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %16
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0; %16
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@ -30,10 +30,12 @@ goal = [19, 19];
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path_Astar = Astar(map, start, goal);
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path_Astar = Astar(map, start, goal);
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% 调用Dijkstra算法
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% 调用Dijkstra算法
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path_Dijkstra = Dijkstras(map, start, goal);
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path_Dijkstra = Dijkstras(map, start, goal);
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%调用RTT算法
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path_RTT = RTT(map, start, goal);
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visualize_path(map, start, goal, path_Astar, path_Dijkstra);
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visualize_path(map, start, goal, path_Astar, path_Dijkstra, path_RTT);
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function visualize_path(map, start, goal, path_Astar, path_Dijkstra)
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function visualize_path(map, start, goal, path_Astar, path_Dijkstra, path_RTT)
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% 可视化地图,0为空地,1为障碍
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% 可视化地图,0为空地,1为障碍
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imagesc(map);
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imagesc(map);
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colormap(flipud(gray)); % 灰度图(0白 1黑)
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colormap(flipud(gray)); % 灰度图(0白 1黑)
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@ -42,25 +44,29 @@ function visualize_path(map, start, goal, path_Astar, path_Dijkstra)
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% 蓝色起点
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% 蓝色起点
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plot(start(2), start(1), 'bo', 'MarkerSize', 10, 'LineWidth', 2);
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plot(start(2), start(1), 'bo', 'MarkerSize', 10, 'LineWidth', 2);
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% 红色终点
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% 红色终点
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plot(goal(2), goal(1), 'ro', 'MarkerSize', 10, 'LineWidth', 2);
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plot(goal(2), goal(1), 'ro', 'MarkerSize', 10, 'LineWidth', 2);
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% 绘制 A* 路径
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if ~isempty(path_Astar)
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if ~isempty(path_Astar)
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% 如果起点不等于路径首元素,插入
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if ~isequal(path_Astar(1,:), start)
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if ~isequal(path_Astar(1,:), start)
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path_Astar = [start; path_Astar];
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path_Astar = [start; path_Astar];
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end
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end
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% 如果终点不等于路径末元素,插入
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if ~isequal(path_Astar(end,:), goal)
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if ~isequal(path_Astar(end,:), goal)
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path_Astar = [path_Astar; goal];
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path_Astar = [path_Astar; goal];
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end
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end
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plot(path_Astar(:,2), path_Astar(:,1), 'r-', 'LineWidth', 2);
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plot(path_Astar(:,2), path_Astar(:,1), 'ro', 'MarkerSize', 4, 'MarkerFaceColor', 'r');
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end
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% 显示路径线
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% 绘制 Dijkstra 路径
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plot(path_Astar(:,2), path_Astar(:,1), 'r-', 'LineWidth', 2); % 绿色路径线
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if ~isempty(path_Dijkstra)
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plot(path_Astar(:,2), path_Astar(:,1), 'ro', 'MarkerSize', 4, 'MarkerFaceColor', 'r'); % 每个点画圈
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plot(path_Dijkstra(:,2), path_Dijkstra(:,1), 'g-', 'LineWidth', 2);
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plot(path_Dijkstra(:,2), path_Dijkstra(:,1), 'g-', 'LineWidth', 2); % 绿色路径线
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plot(path_Dijkstra(:,2), path_Dijkstra(:,1), 'go', 'MarkerSize', 4, 'MarkerFaceColor', 'g');
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plot(path_Dijkstra(:,2), path_Dijkstra(:,1), 'go', 'MarkerSize', 4, 'MarkerFaceColor', 'g'); % 每个点画圈
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end
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% 绘制 RTT 路径
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if ~isempty(path_RTT)
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plot(path_RTT(:,2), path_RTT(:,1), 'b-', 'LineWidth', 2);
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end
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end
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% 网格线
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% 网格线
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