rrt算法 matlab代码
时间: 2023-08-26 20:07:02 浏览: 81
以下是RRT算法的MATLAB实现:
```
% RRT algorithm
% Written by Yifan Hou, 2018
% Define the map boundaries
map = [0 100; 0 100];
% Define the start and goal positions
start_pos = [10 10];
goal_pos = [90 90];
% Define the step size
step_size = 5;
% Define the maximum number of iterations
max_iter = 1000;
% Define the maximum distance to connect to the tree
max_dist = 10;
% Define the radius of the goal region
goal_radius = 2;
% Initialize the tree with the start position
tree = [start_pos 0];
% Initialize the list of explored nodes
explored = [];
% Run the RRT algorithm
for i = 1:max_iter
% Generate a random point in the map
random_point = [randi(map(1,:), 1) randi(map(2,:), 1)];
% Find the nearest node in the tree
[nearest_node, nearest_dist] = nearestNode(random_point, tree);
% Calculate the new node in the direction of the random point
new_node = steer(nearest_node, random_point, step_size);
% Check if the new node is within the map boundaries
if checkBounds(new_node, map)
% Check if the new node is collision-free
if checkCollision(nearest_node, new_node, map)
% Add the new node to the tree
tree = [tree; new_node nearest_node];
% Check if the new node is within the goal region
if norm(new_node - goal_pos) <= goal_radius
% Add the goal node to the tree
tree = [tree; goal_pos size(tree, 1)];
% Trace the path from the goal node to the start node
path = tracePath(tree);
% Plot the final path
plotPath(path, explored, map);
break;
end
% Add the new node to the list of explored nodes
explored = [explored; new_node];
% Connect the new node to the tree if it is within the maximum
% distance
if nearest_dist <= max_dist
tree = [tree; new_node size(tree, 1)];
end
end
end
end
```
其中,nearestNode函数用于查找离给定点最近的树节点,steer函数用于从最近的节点朝着随机点方向延伸一定长度,checkBounds函数用于检查点是否在地图边界内,checkCollision函数用于检查两个点之间的路径是否与障碍物相交,tracePath函数用于从终点向根节点遍历树,plotPath函数用于绘制路径和探索节点。这些函数在代码中并未给出,需要根据实际情况自行实现。
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