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[英]Eigen matrix library filling a matrix with random float values in a given range
[英]Filling eigen matrix with values
抱歉打擾。 你能知道我該如何修復我的代碼。 它給了我這個錯誤:
/usr/include/eigen3/Eigen/src/Core/DenseCoeffsBase.h:365: Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<float, -1, -1>; Eigen::DenseCoeffsBase<Derived, 1>::Scalar = float; Eigen::Index = long int]: Assertion `row >= 0 && row < rows() && col >= 0 && col < cols()' failed.
我認為我以正確的方式聲明了矩陣。 我的錯誤(我認為)是當我嘗試用可能的變換 function 中的值填充她時。 我認為它可能是錯誤的 transform1(0, position)=.. 我試着注釋那幾行代碼並寫了一個簡單的代碼,比如 transform1(0, position)=1; 它給出了同樣的錯誤。
抱歉打擾,親切的問候。
我的代碼:
#include "ros/ros.h"
#include <cstdlib>
#include <fstream>
#include <stdio.h>
#include <regex>
#include "sensor_msgs/PointCloud2.h"
#include <pcl_conversions/pcl_conversions.h>
#include <pcl/point_types.h>
#include <pcl/PCLPointCloud2.h>
#include <pcl/conversions.h>
#include <pcl_ros/transforms.h>
#include <boost/shared_ptr.hpp>
#include "pcl_ros/point_cloud.h"
#include "sensor_msgs/PointField.h"
#include <pcl/io/pcd_io.h>
#include "nav_msgs/Odometry.h"
#include "eigen3/Eigen/SVD"
#include "eigen3/Eigen/Dense"
#include "clustering/Track.h"
#include "eigen3/Eigen/Core"
#include "eigen3/Eigen/Sparse"
using namespace Eigen;
int number_od_possible_tracks = 15;
class Odometry_class {
ros::NodeHandle nodeh;
ros::Subscriber sub;
ros::Publisher pub;
public:
Odometry_class();
void Odometry(const sensor_msgs::PointCloud2 &msg);
bool Has_pointcloud_min3points(pcl::PointCloud<pcl::PointXYZIVSI> cloud);
bool Possible_transform(pcl::PointCloud<pcl::PointXYZIVSI> cloud);
void Restore_Ids();
pcl::PointCloud<pcl::PointXYZIVSI> last_cloud;
Eigen::MatrixXf transform1 = (Eigen::MatrixXf(3,15));
Eigen::MatrixXf transform2=(Eigen::MatrixXf(3,15));
int consecutive_Ids_current[15];
int consecutive_Ids_previous[15];
int position;
void Transform();
};
Odometry_class::Odometry_class(){
sub = nodeh.subscribe("trackers", 10, &Odometry_class::Odometry, this);
pub = nodeh.advertise<nav_msgs::Odometry>("odometry", 10);
}
void Odometry_class::Odometry(const sensor_msgs::PointCloud2 &msg ){
pcl::PCLPointCloud2 pcl_pc2;
pcl_conversions::toPCL(msg, pcl_pc2);
pcl::PointCloud<pcl::PointXYZIVSI> cloud;
pcl::fromPCLPointCloud2(pcl_pc2, cloud);
if(Possible_transform(cloud)){
ROS_INFO("Transformation is possible");
}
else{
ROS_INFO("Transformation is not possible");
}
Restore_Ids();
pcl::fromPCLPointCloud2(pcl_pc2, last_cloud);
}
void Odometry_class::Restore_Ids(){
int i=0;
while(consecutive_Ids_current[i]!=0){
consecutive_Ids_current[i]=0;
consecutive_Ids_previous[i]=0;
i++;
}
}
bool Odometry_class::Has_pointcloud_min3points(pcl::PointCloud<pcl::PointXYZIVSI> cloud){
bool has=false;
if(cloud.width>=3){
has=true;
}
return has;
}
bool Odometry_class::Possible_transform(pcl::PointCloud<pcl::PointXYZIVSI> cloud){
bool possible=false;
position=0;
if(Has_pointcloud_min3points(cloud)&Has_pointcloud_min3points(last_cloud)){
for(int i=0;i<cloud.width;i++){
for(int j=0;j<last_cloud.width;j++){
if(cloud[i].id==last_cloud[j].id){
consecutive_Ids_current[position]=i;
consecutive_Ids_previous[position]=j;
position++;
}
}
}
}
if(position>=3){
possible=true;
transform1.resize(3,position);
transform2.resize(3,position);
for(int i=0;i<position;i++){
transform1(0,position)= cloud[consecutive_Ids_current[i]].x;
transform1(1,position)= cloud[consecutive_Ids_current[i]].y;
transform1(2,position)= cloud[consecutive_Ids_current[i]].z;
transform2(0,position)= cloud[consecutive_Ids_previous[i]].x;
transform2(1,position)= cloud[consecutive_Ids_previous[i]].y;
transform2(2,position)= cloud[consecutive_Ids_previous[i]].z;
}
}
return possible;
}
int main(int argc, char **argv) {
ros::init(argc, argv, "Odometry");
Odometry_class Odometry;
ros::spin();
return 0;
}
我認為您混淆了循環變量i
和上限position
。 使用position
作為索引將導致訪問矩陣超出范圍,並且 Eigen 庫在斷言中捕獲了它。 使用循環變量應該可以解決錯誤。
transform1(0,i)= cloud[consecutive_Ids_current[i]].x;
同樣對於 rest 的transform1
和transform2
分配。
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