ORBSLAM输出的轨迹与数据集真实轨迹对齐并输出txt文件C++代码
时间: 2023-12-14 13:39:22 浏览: 193
c++流类库与输入输出完美版资料.ppt
以下是一个简单的示例代码,将ORBSLAM的轨迹输出到一个txt文件中,并与真实轨迹对齐。假设你已经有了真实轨迹的数据集和ORBSLAM的轨迹数据集,其中每个数据点包含了一个时间戳、位置和方向信息。
```C++
#include <iostream>
#include <fstream>
#include <vector>
struct Pose {
double timestamp;
double x, y, z;
double qx, qy, qz, qw;
};
int main(int argc, char** argv) {
// 读取真实轨迹数据
std::vector<Pose> ground_truth_poses;
std::ifstream ground_truth_file("ground_truth.txt");
double timestamp, x, y, z, qx, qy, qz, qw;
while (ground_truth_file >> timestamp >> x >> y >> z >> qx >> qy >> qz >> qw) {
Pose pose;
pose.timestamp = timestamp;
pose.x = x;
pose.y = y;
pose.z = z;
pose.qx = qx;
pose.qy = qy;
pose.qz = qz;
pose.qw = qw;
ground_truth_poses.push_back(pose);
}
ground_truth_file.close();
// 读取ORBSLAM的轨迹数据
std::vector<Pose> orbslam_poses;
std::ifstream orbslam_file("orbslam_trajectory.txt");
while (orbslam_file >> timestamp >> x >> y >> z >> qx >> qy >> qz >> qw) {
Pose pose;
pose.timestamp = timestamp;
pose.x = x;
pose.y = y;
pose.z = z;
pose.qx = qx;
pose.qy = qy;
pose.qz = qz;
pose.qw = qw;
orbslam_poses.push_back(pose);
}
orbslam_file.close();
// 对齐ORBSLAM的轨迹和真实轨迹
std::ofstream aligned_file("aligned_trajectory.txt");
int i = 0, j = 0;
while (i < ground_truth_poses.size() && j < orbslam_poses.size()) {
double gt_timestamp = ground_truth_poses[i].timestamp;
double orbslam_timestamp = orbslam_poses[j].timestamp;
if (orbslam_timestamp < gt_timestamp) {
j++;
} else if (orbslam_timestamp > gt_timestamp) {
i++;
} else {
// 找到了时间戳匹配的点,将ORBSLAM的位置和方向信息与真实轨迹的时间戳一起输出
Pose aligned_pose = orbslam_poses[j];
aligned_file << aligned_pose.timestamp << " "
<< ground_truth_poses[i].x << " "
<< ground_truth_poses[i].y << " "
<< ground_truth_poses[i].z << " "
<< aligned_pose.qx << " "
<< aligned_pose.qy << " "
<< aligned_pose.qz << " "
<< aligned_pose.qw << std::endl;
i++;
j++;
}
}
aligned_file.close();
return 0;
}
```
这个示例代码中,我们首先读取真实轨迹和ORBSLAM的轨迹数据,然后对齐这两个轨迹。对齐的方法是,我们先按照时间戳排序,然后在真实轨迹和ORBSLAM轨迹中同时扫描,并将时间戳匹配的点输出到一个新的文件中。输出的格式为:时间戳(来自ORBSLAM),位置(来自真实轨迹),方向(来自ORBSLAM)。
你可以根据需要对这个示例代码进行修改,以适应你自己的数据集和需求。
阅读全文