ros入门(4)—ros多传感器数据同步

转自 https://blog.csdn.net/zyh821351004/article/details/47758433


由于传感器频率的不同,需要将传感器数据进行同步后才能进行融合,下面是ros中同步的方法,

方式一: 全局变量形式 : TimeSynchronizer

步骤:

 1.   message_filter ::subscriber 分别订阅不同的输入topic 

 2.  TimeSynchronizer   定义时间同步器;

 3.  sync.registerCallback      同步回调

 4.  void callback(const ImageConstPtr&image,const CameraInfoConstPtr& cam_info)     带多消息的消息同步自定义回调函数
//wiki参考demo http://wiki.ros.org/message_filters
#include 
#include 
#include 
#include 

using namespace sensor_msgs;
using namespace message_filters;

void callback(const ImageConstPtr& image, const CameraInfoConstPtr& cam_info)  //回调中包含多个消息
{
  // Solve all of perception here...
}

int main(int argc, char** argv)
{
  ros::init(argc, argv, "vision_node");

  ros::NodeHandle nh;

  message_filters::Subscriber image_sub(nh, "image", 1);             // topic1 输入
  message_filters::Subscriber info_sub(nh, "camera_info", 1);   // topic2 输入
  TimeSynchronizer sync(image_sub, info_sub, 10);       // 同步
  sync.registerCallback(boost::bind(&callback, _1, _2));                   // 回调

  ros::spin();

  return 0;
}
// 

参考链接 http://wiki.ros.org/message_filters

方式二: 类成员的形式 message_filters::Synchronizer

说明: 我用 TimeSynchronizer 改写成类形式中间出现了一点问题.后就改写成message_filters::Synchronizer的形式.

1、头文件

#include 
#include 
#include 

2、定义消息同步机制

typedef message_filters::sync_policies::ApproximateTime<nav_msgs::Odometry,sensor_msgs::Image> slamSyncPolicy;

3、定义类成员变量

message_filters::Subscriber::Odometry>* odom_sub_ ;             // topic1 输入
message_filters::Subscriber::Image>* img_sub_;   // topic2 输入
message_filters::Synchronizer* sync_;

4、类构造函数中开辟空间new

    odom_sub_ = new message_filters::Subscriber::Odometry>(ar_handle, "/odom", 1);
    img_sub_  = new message_filters::Subscriber::Image>(ar_handle, "/usb_cam/image_raw", 1);

    sync_ = new  message_filters::Synchronizer(slamSyncPolicy(10), *odom_sub_, *img_sub_);
    sync_->registerCallback(boost::bind(&QrSlam::combineCallback,this, _1, _2));

5、类成员函数回调处理


void QrSlam::combineCallback(const nav_msgs::Odometry::ConstPtr& pOdom, const sensor_msgs::ImageConstPtr& pImg)  //回调中包含多个消息
{
    //TODO
    fStampAll<<pOdom->header.stamp<<"    "<<pImg->header.stamp<<endl;
    getOdomData(pOdom);                   //
    is_img_update_ = getImgData(pImg);    // 像素值
    cout << "stamp x y theta v w " << robot_odom_.stamp<<" "<<robot_odom_.x << " "<< robot_odom_.y << " " << robot_odom_.theta
         << " " << robot_odom_.v << " " << robot_odom_.w << std::endl;
    fOdom << "stamp x y theta v w " << robot_odom_.stamp<<" "<<robot_odom_.x << " "<< robot_odom_.y << " " << robot_odom_.theta
          << " " << robot_odom_.v << " " << robot_odom_.w << std::endl;
    pixDataToMetricData();
    static bool FINISH_INIT_ODOM_STATIC = false;
    if(FINISH_INIT_ODOM_STATIC)
    {
        ekfslam(robot_odom_);
    }
    else if(is_img_update_)
    {
        if(addInitVectorFull())
        {
            computerCoordinate();
            FINISH_INIT_ODOM_STATIC = true;
        }
    }
}

你可能感兴趣的:(ros)