写一个ros的A*代码 c++
时间: 2024-05-04 07:20:34 浏览: 174
好的,以下是一个简单的 A* 算法的实现,使用ROS中的nav_msgs::OccupancyGrid作为地图输入,以及geometry_msgs::PoseStamped作为起点和终点输入。
```c++
#include <ros/ros.h>
#include <nav_msgs/OccupancyGrid.h>
#include <geometry_msgs/PoseStamped.h>
#include <queue>
#include <vector>
#include <cmath>
struct Node
{
int x;
int y;
int f;
int g;
int h;
Node* parent;
Node(int x_, int y_, int f_, int g_, int h_, Node* parent_)
:x(x_), y(y_), f(f_), g(g_), h(h_), parent(parent_){}
};
class AStarPlanner
{
public:
AStarPlanner(ros::NodeHandle& nh)
:nh_(nh), map_received_(false)
{
map_sub_ = nh_.subscribe("map", 1, &AStarPlanner::mapCallback, this);
goal_sub_ = nh_.subscribe("goal", 1, &AStarPlanner::goalCallback, this);
path_pub_ = nh_.advertise<nav_msgs::Path>("path", 1);
}
void mapCallback(const nav_msgs::OccupancyGrid::ConstPtr& msg)
{
map_ = *msg;
map_received_ = true;
}
void goalCallback(const geometry_msgs::PoseStamped::ConstPtr& msg)
{
goal_ = *msg;
if(map_received_)
{
findPath();
}
}
void findPath()
{
// 起点和终点的像素坐标
int start_x = (map_.info.origin.position.x - goal_.pose.position.x) / map_.info.resolution;
int start_y = (map_.info.origin.position.y - goal_.pose.position.y) / map_.info.resolution;
int goal_x = (map_.info.origin.position.x - goal_.pose.position.x) / map_.info.resolution;
int goal_y = (map_.info.origin.position.y - goal_.pose.position.y) / map_.info.resolution;
// 节点列表,用于存放待扩展的节点
std::vector<Node*> open_list;
// 节点列表,用于存放已扩展的节点
std::vector<Node*> closed_list;
// 初始化起点节点
Node* start_node = new Node(start_x, start_y, 0, 0, 0, nullptr);
open_list.push_back(start_node);
while(!open_list.empty())
{
// 从open_list中选取f值最小的节点
int min_f = INT_MAX;
int min_index = 0;
for(int i = 0; i < open_list.size(); i++)
{
if(open_list[i]->f < min_f)
{
min_f = open_list[i]->f;
min_index = i;
}
}
Node* current_node = open_list[min_index];
// 判断是否到达终点
if(current_node->x == goal_x && current_node->y == goal_y)
{
// 生成路径并发布
nav_msgs::Path path;
Node* node = current_node;
while(node)
{
geometry_msgs::PoseStamped pose;
pose.pose.position.x = map_.info.origin.position.x - node->x * map_.info.resolution;
pose.pose.position.y = map_.info.origin.position.y - node->y * map_.info.resolution;
path.poses.push_back(pose);
node = node->parent;
}
std::reverse(path.poses.begin(), path.poses.end());
path_pub_.publish(path);
// 释放内存
for(int i = 0; i < open_list.size(); i++)
{
delete open_list[i];
}
for(int i = 0; i < closed_list.size(); i++)
{
delete closed_list[i];
}
return;
}
// 将当前节点从open_list中移除,加入到closed_list中
open_list.erase(open_list.begin() + min_index);
closed_list.push_back(current_node);
// 扩展当前节点的邻居节点
for(int dx = -1; dx <= 1; dx++)
{
for(int dy = -1; dy <= 1; dy++)
{
if(dx == 0 && dy == 0)
continue;
int x = current_node->x + dx;
int y = current_node->y + dy;
// 判断是否越界
if(x < 0 || x >= map_.info.width || y < 0 || y >= map_.info.height)
continue;
// 判断是否为障碍物
int index = y * map_.info.width + x;
if(map_.data[index] == 100)
continue;
// 判断节点是否已经在closed_list中
bool in_closed_list = false;
for(int i = 0; i < closed_list.size(); i++)
{
if(closed_list[i]->x == x && closed_list[i]->y == y)
{
in_closed_list = true;
break;
}
}
if(in_closed_list)
continue;
// 计算g值和h值
int g = current_node->g + sqrt(dx*dx + dy*dy);
int h = sqrt((x - goal_x)*(x - goal_x) + (y - goal_y)*(y - goal_y));
// 判断节点是否已经在open_list中
bool in_open_list = false;
for(int i = 0; i < open_list.size(); i++)
{
if(open_list[i]->x == x && open_list[i]->y == y)
{
in_open_list = true;
if(g < open_list[i]->g)
{
open_list[i]->g = g;
open_list[i]->f = g + open_list[i]->h;
open_list[i]->parent = current_node;
}
break;
}
}
if(!in_open_list)
{
Node* node = new Node(x, y, 0, g, h, current_node);
node->f = g + h;
open_list.push_back(node);
}
}
}
}
// 释放内存
for(int i = 0; i < open_list.size(); i++)
{
delete open_list[i];
}
for(int i = 0; i < closed_list.size(); i++)
{
delete closed_list[i];
}
}
private:
ros::NodeHandle nh_;
ros::Subscriber map_sub_;
ros::Subscriber goal_sub_;
ros::Publisher path_pub_;
nav_msgs::OccupancyGrid map_;
bool map_received_;
geometry_msgs::PoseStamped goal_;
};
int main(int argc, char** argv)
{
ros::init(argc, argv, "astar_planner");
ros::NodeHandle nh;
AStarPlanner planner(nh);
ros::spin();
return 0;
}
```
需要注意的是,这只是一个简单的实现,还有很多细节需要根据实际应用进行优化和改进。
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