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rrt_todo.cpp
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rrt_todo.cpp
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#include "rrt.h"
#include <ros/ros.h>
#include <random>
#include <iostream>
template<typename Graph, typename State>
void RRT<Graph, State>::setGraph(std::shared_ptr<Graph> graph){
graph_ = graph;
}
template<typename Graph, typename State>
RRT<Graph, State>::~RRT() {
delete end_node_;
delete start_node_;
start_node_ = nullptr;
end_node_ = nullptr;
for (unsigned int i = 0; i < nodes_ptr_.size(); ++i) {
delete nodes_ptr_[i];
nodes_ptr_[i] = nullptr;
}
nodes_ptr_.clear();
}
template<typename Graph, typename State>
typename State::Ptr RRT<Graph, State>::Near(const Eigen::Vector3d &pt) {
std::vector<int> search_indices;
std::vector<float> search_distances;
pcl::PointXYZ point(pt.cast<float>().x(),pt.cast<float>().y(),pt.cast<float>().z());
kdtree_flann_.nearestKSearch(point, 1, search_indices, search_distances);
if (search_indices.empty()) {
std::cerr << "kdtree is empty" << std::endl;
}
return nodes_ptr_[search_indices[0]];
}
template<typename Graph, typename State>
Eigen::Vector3d RRT<Graph, State>::Steer(const Eigen::Vector3d &rand_point,
const Eigen::Vector3d &near_point,
double step_size) {
Eigen::Vector3d steered_point;
// TODO define your steer function
return steered_point;
}
template<typename Graph, typename State>
pcl::PointCloud<pcl::PointXYZ> RRT<Graph, State>::GetNodesCoordPointCloud() {
pcl::PointCloud<pcl::PointXYZ> point_cloud;
for (unsigned int i = 0; i < nodes_ptr_.size(); ++i) {
pcl::PointXYZ point(nodes_ptr_[i]->coordinate_.template cast<float>().x(),
nodes_ptr_[i]->coordinate_.template cast<float>().y(),
nodes_ptr_[i]->coordinate_.template cast<float>().z());
point_cloud.push_back(point);
}
return point_cloud;
}
template<typename Graph, typename State>
bool RRT<Graph, State>::SearchPath(const Eigen::Vector3d &start_pt, const Eigen::Vector3d &end_pt) {
const Eigen::Vector3d start = graph_->checkPointRange(start_pt);
const Eigen::Vector3d end = graph_->checkPointRange(end_pt);
end_node_ = new State();
end_node_->coordinate_ = end;
end_node_->parent_ = nullptr;
start_node_ = new State();
start_node_->coordinate_ = start;
start_node_->parent_ = nullptr;
nodes_ptr_.emplace_back(start_node_);
pcl::PointCloud<pcl::PointXYZ> point_cloud_node = GetNodesCoordPointCloud();
kdtree_flann_.setInputCloud(point_cloud_node.makeShared());
ros::Time start_time = ros::Time::now();
while (true) {
// TODO generate sample point, use graph_->Sample();
auto x_rand = graph_->Sample();
// TODO get near point (near_node_ptr) to the randomly generated point
typename State::Ptr near_node_ptr;
// TODO Use the Steer function to get new point (new_point)
Eigen::Vector3d new_point;
if (!graph_->collisionFree(near_node_ptr->coordinate_, new_point)) {
continue;
}
typename State::Ptr new_node_ptr = new State();
new_node_ptr->coordinate_ = new_point;
new_node_ptr->parent_ = near_node_ptr;
nodes_ptr_.push_back(new_node_ptr);
if ((new_point - end_node_->coordinate_).norm() <= graph_->resolution_) {
end_node_->parent_ = new_node_ptr;
return true;
}
kdtree_flann_.setInputCloud(GetNodesCoordPointCloud().makeShared());
ros::Duration use_time = ros::Time::now() - start_time;
if (use_time.toSec() > 10.0){
ROS_ERROR_STREAM("rrt has use time more than 10s ");
return false;
}
}
}
template<typename Graph, typename State>
std::vector<Eigen::Vector3d> RRT<Graph, State>::GetPath() {
std::vector<Eigen::Vector3d> path;
typename State::Ptr node_ptr = end_node_;
while (node_ptr != nullptr) {
path.emplace_back(node_ptr->coordinate_);
node_ptr = node_ptr->parent_;
}
std::reverse(path.begin(), path.end());
return path;
}
template class RRT<GridGraph3D, RRTNode>;