Ray:更新vslam 摄像头加IMU代码

pull/1/head
ray 2023-12-27 11:39:39 +08:00
parent e57aa6e746
commit 9422b11149
3 changed files with 151 additions and 31 deletions

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@ -36,7 +36,7 @@ IMUReader::~IMUReader() {
} }
// 获取 IMU 数据状态 // 获取 IMU 数据状态
int IMUReader::IMUReadUartData() int IMUReader::IMUReadData()
{ {
uint8_t tmpdata[24]; uint8_t tmpdata[24];
@ -65,13 +65,30 @@ int IMUReader::IMUReadUartData()
bytesRead = boost::asio::read(*serial, boost::asio::buffer(tmpdata, 1)); bytesRead = boost::asio::read(*serial, boost::asio::buffer(tmpdata, 1));
bytesRead = boost::asio::read(*serial, boost::asio::buffer(tmpdata, 24)); bytesRead = boost::asio::read(*serial, boost::asio::buffer(tmpdata, 24));
// 从 tmpdata 中提取数据
data.gyroX = *(float *)(tmpdata+0); // data.vGyro.x = *(float *)(tmpdata+0);
data.gyroY = *(float *)(tmpdata+4); // data.vGyro.y = *(float *)(tmpdata+4);
data.gyroZ = *(float *)(tmpdata+8); // data.vGyro.z = *(float *)(tmpdata+8);
data.accelX = *(float *)(tmpdata+12); // data.vAcc.x = *(float *)(tmpdata+12);
data.accelY = *(float *)(tmpdata+16); // data.vAcc.y = *(float *)(tmpdata+16);
data.accelZ = *(float *)(tmpdata+20); // data.vAcc.z = *(float *)(tmpdata+20);
// data.timestamp = std::chrono::duration_cast<std::chrono::nanoseconds>(std::chrono::system_clock::now().time_since_epoch() ).count();
IMUData newData;
newData.vGyro.x = *(float *)(tmpdata+0);
newData.vGyro.y = *(float *)(tmpdata+4);
newData.vGyro.z = *(float *)(tmpdata+8);
newData.vAcc.x = *(float *)(tmpdata+12);
newData.vAcc.y = *(float *)(tmpdata+16);
newData.vAcc.z = *(float *)(tmpdata+20);
newData.timestamp = std::chrono::duration_cast<std::chrono::nanoseconds>(
std::chrono::system_clock::now().time_since_epoch()).count();
std::lock_guard<std::mutex> lock(dataMutex);
imubuffer.push_back(newData);
// printf("gyro = %f,%f,%f, Acc = %f,%f,%f\n", data.gyroX,data.gyroY,data.gyroZ, // printf("gyro = %f,%f,%f, Acc = %f,%f,%f\n", data.gyroX,data.gyroY,data.gyroZ,
// data.accelX, data.accelY, data.accelZ); // data.accelX, data.accelY, data.accelZ);
@ -79,16 +96,22 @@ int IMUReader::IMUReadUartData()
return 1; return 1;
} }
// 获取 IMU 数据状态 // 获取 IMU 数据状态
int IMUReader::ReadData(IMUData& data) { int IMUReader::ReadData(IMUData& data) {
// 模拟获取实际数据的过程,这里使用随机数
data.accelX = this->data.accelX; data.vAcc.x= this->data.vAcc.x;
data.accelY = this->data.accelY; data.vAcc.y = this->data.vAcc.y;
data.accelZ = this->data.accelZ; data.vAcc.z = this->data.vAcc.z;
data.gyroX = this->data.gyroX; data.vGyro.x= this->data.vGyro.x;
data.gyroY = this->data.gyroY; data.vGyro.y = this->data.vGyro.y;
data.gyroZ = this->data.gyroZ; data.vGyro.z = this->data.vGyro.z;
// 返回状态,这里简单地返回 0 表示成功 data.timestamp = this->data.timestamp;
return 0; return 0;
} }
@ -108,12 +131,8 @@ void IMUReader::IMUInit(std::string ComNumber) {
// 读取 IMU 数据的循环 // 读取 IMU 数据的循环
void IMUReader::IMUReadDataThread() { void IMUReader::IMUReadDataThread() {
while (isRunning) { while (isRunning) {
int status = IMUReadUartData(); int status = IMUReadData();
// 处理获取的数据,这里简单地 // 处理获取的数据,这里简单地
// Add delay fun. // Add delay fun.
} }
} }
float IMUReader::getRandomFloat(){
return 1.22f;
}

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@ -1,4 +1,3 @@
// IMUReader.h
#pragma once #pragma once
#include <iostream> #include <iostream>
@ -7,15 +6,20 @@
#include <string> #include <string>
#include <boost/asio.hpp> #include <boost/asio.hpp>
#include <boost/array.hpp> #include <boost/array.hpp>
#include <vector>
#include <opencv2/core/core.hpp>
using namespace std;
// 结构体定义 IMU 数据 // 结构体定义 IMU 数据
struct IMUData { struct IMUData {
float accelX;
float accelY; cv::Point3f vAcc;
float accelZ; cv::Point3f vGyro;
float gyroX; double timestamp;
float gyroY;
float gyroZ;
}; };
class IMUReader { class IMUReader {
@ -34,7 +38,13 @@ public:
// 获取 IMU 数据状态 // 获取 IMU 数据状态
int ReadData(IMUData& data); int ReadData(IMUData& data);
int IMUReadData();
std::vector<IMUData> imubuffer;
IMUData getdata() const{
std::unique_lock<std::mutex> lock(dataMutex);
return data;
};
private: private:
boost::asio::io_service io; boost::asio::io_service io;
boost::asio::serial_port* serial; boost::asio::serial_port* serial;
@ -43,11 +53,12 @@ private:
bool isRunning; // 控制是否退出循环的标志变量 bool isRunning; // 控制是否退出循环的标志变量
std::thread dataThread; // 数据读取线程 std::thread dataThread; // 数据读取线程
IMUData data; IMUData data;
mutable std::mutex dataMutex;
// 读取 IMU 数据的循环 // 读取 IMU 数据的循环
int IMUReadUartData();
void IMUReadDataThread(void); void IMUReadDataThread(void);
// 辅助函数,生成随机浮点数(模拟实际获取的传感器数据)
float getRandomFloat();
}; };

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@ -0,0 +1,90 @@
#include<iostream>
#include<algorithm>
#include<fstream>
#include<chrono>
#include <ctime>
#include <sstream>
#include "IMUReader.h"
#include<opencv2/core/core.hpp>
#include<System.h>
#include "ImuTypes.h"
using namespace std;
int main(int argc, char *argv[])
{
if(argc < 3)
{
cerr << endl << "Usage: ./mono_inertial_euroc path_to_vocabulary path_to_setting" << endl;
return 1;
}
ORB_SLAM3::System SLAM(argv[1],argv[2],ORB_SLAM3::System::IMU_MONOCULAR, true);
vector<ORB_SLAM3::IMU::Point> vImuMeas;
vImuMeas.clear();
int fps = 30;
IMUReader imuReader ("/dev/ttyUSB0");
std::this_thread::sleep_for(std::chrono::milliseconds(1000/fps));
cv::VideoCapture cap = cv::VideoCapture(0);
cap.set(cv::CAP_PROP_FRAME_WIDTH, 640);
cap.set(cv::CAP_PROP_FRAME_HEIGHT, 480);
if (!cap.isOpened()) {
std::cerr << "Error: Could not open camera." << std::endl;
return -1;
}
while(1)
{
cv::Mat im;
cap >> im;
if(im.empty())
{
cerr << endl << "Error: Couldn't capture a frame"
<< endl;
return 1;
}
vImuMeas.clear();
auto currentTime = std::chrono::high_resolution_clock::now();
auto timestamp = std::chrono::duration_cast<std::chrono::nanoseconds>(currentTime.time_since_epoch());
double tframe = static_cast<double>(timestamp.count());
// IMUData data;
while (!imuReader.imubuffer.empty()) {
IMUData myImuData = imuReader.imubuffer.front();
ORB_SLAM3::IMU::Point slamImuData(myImuData.vAcc, myImuData.vGyro, myImuData.timestamp);
// 添加到 SLAM 系统定义的向量中
vImuMeas.push_back(slamImuData);
imuReader.imubuffer.erase(imuReader.imubuffer.begin());
}
cout << "Accumulated IMU Data Size: " << vImuMeas.size() << endl;
// 清空 imu 缓冲区
// imuReader.imubuffer.clear();
// SLAM.TrackMonocular(im, tframe, vImuMeas);
// vImuMeas.clear();
}
// Stop all threads
// SLAM.Shutdown();
}