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loam源码解析8 :transformMaintenance

本文主要是介绍loam源码解析8 :transformMaintenance,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!

transformMaintenance.cpp解析

  • 一、概述
  • 二、变量说明
  • 三、信息接受处理
    • 1. transformAssociateToMap位姿融合
    • 2. laserOdometryHandler里程计信息处理
    • 3. odomAftMappedHandler地图信息处理
  • 三、信息发送处理
  • 四、结语

loam源码地址: https://github.com/cuitaixiang/LOAM_NOTED.
论文学习: LOAM: Lidar Odometry and Mapping in Real-time 论文阅读.
loam源码解析汇总:
loam源码解析1 : scanRegistration(一).
loam源码解析2 : scanRegistration(二).
loam源码解析3 : laserOdometry(一).
loam源码解析4 : laserOdometry(二).
loam源码解析5 : laserOdometry(三).
loam源码解析6 : laserMapping(一).
loam源码解析7 : laserMapping(二).
loam源码解析8 : transformMaintenance.

一、概述

scanRegistration laserOdometry laserMapping transformMaintenance

至此,我们已经完成了前三个部分的代码分析,进入到了最后一个部分transformMaintenance,这一部分也非常简单没有什么算法和细节难点,主要是接受信息和发布信息,废话少说,直接看代码。

二、变量说明

laserOdometry中传来的里程计信息(高频):

//odometry计算的转移矩阵(实时高频量)
float transformSum[6] = {0};
//平移增量
float transformIncre[6] = {0};

laserMapping中传来的里程计信息(低频),优化后的里程计信息,地图:

//经过mapping矫正过后的最终的世界坐标系下的位姿
float transformMapped[6] = {0};
//mapping传递过来的优化前的位姿
float transformBefMapped[6] = {0};
//mapping传递过来的优化后的位姿
float transformAftMapped[6] = {0};

定义ROS和TF的发布:

ros::Publisher *pubLaserOdometry2Pointer = NULL;
tf::TransformBroadcaster *tfBroadcaster2Pointer = NULL;
nav_msgs::Odometry laserOdometry2;
tf::StampedTransform laserOdometryTrans2;

三、信息接受处理

int main(int argc, char** argv)
{
  ros::init(argc, argv, "transformMaintenance");
  ros::NodeHandle nh;

  ros::Subscriber subLaserOdometry = nh.subscribe<nav_msgs::Odometry> 
                                     ("/laser_odom_to_init", 5, laserOdometryHandler);

  ros::Subscriber subOdomAftMapped = nh.subscribe<nav_msgs::Odometry> 
                                     ("/aft_mapped_to_init", 5, odomAftMappedHandler);
                                    

1. transformAssociateToMap位姿融合

这一部分与loam源码解析6 : laserMapping(一)中的transformAssociateToMap()函数几乎一模一样,所实现的功能是odometry的运动估计和mapping矫正量融合之后得到的最终的位姿transformMapped,唯一的区别就是在laserMapping中得到的是初始估计的 T ˉ k W ( t k + 1 ) \bar T^W_{k}(t_{k+1}) TˉkW​(tk+1​),而在这里得到的是laserMapping迭代优化后的 T k W ( t k + 1 ) T^W_{k}(t_{k+1}) TkW​(tk+1​),所以不再赘述。

//odometry的运动估计和mapping矫正量融合之后得到的最终的位姿transformMapped
void transformAssociateToMap()
{
  //平移后绕y轴旋转(-transformSum[1])
  float x1 = cos(transformSum[1]) * (transformBefMapped[3] - transformSum[3]) 
           - sin(transformSum[1]) * (transformBefMapped[5] - transformSum[5]);
  float y1 = transformBefMapped[4] - transformSum[4];
  float z1 = sin(transformSum[1]) * (transformBefMapped[3] - transformSum[3]) 
           + cos(transformSum[1]) * (transformBefMapped[5] - transformSum[5]);

  //绕x轴旋转(-transformSum[0])
  float x2 = x1;
  float y2 = cos(transformSum[0]) * y1 + sin(transformSum[0]) * z1;
  float z2 = -sin(transformSum[0]) * y1 + cos(transformSum[0]) * z1;

  //绕z轴旋转(-transformSum[2])
  transformIncre[3] = cos(transformSum[2]) * x2 + sin(transformSum[2]) * y2;
  transformIncre[4] = -sin(transformSum[2]) * x2 + cos(transformSum[2]) * y2;
  transformIncre[5] = z2;

  float sbcx = sin(transformSum[0]);
  float cbcx = cos(transformSum[0]);
  float sbcy = sin(transformSum[1]);
  float cbcy = cos(transformSum[1]);
  float sbcz = sin(transformSum[2]);
  float cbcz = cos(transformSum[2]);

  float sblx = sin(transformBefMapped[0]);
  float cblx = cos(transformBefMapped[0]);
  float sbly = sin(transformBefMapped[1]);
  float cbly = cos(transformBefMapped[1]);
  float sblz = sin(transformBefMapped[2]);
  float cblz = cos(transformBefMapped[2]);

  float salx = sin(transformAftMapped[0]);
  float calx = cos(transformAftMapped[0]);
  float saly = sin(transformAftMapped[1]);
  float caly = cos(transformAftMapped[1]);
  float salz = sin(transformAftMapped[2]);
  float calz = cos(transformAftMapped[2]);

  float srx = -sbcx*(salx*sblx + calx*cblx*salz*sblz + calx*calz*cblx*cblz)
            - cbcx*sbcy*(calx*calz*(cbly*sblz - cblz*sblx*sbly)
            - calx*salz*(cbly*cblz + sblx*sbly*sblz) + cblx*salx*sbly)
            - cbcx*cbcy*(calx*salz*(cblz*sbly - cbly*sblx*sblz) 
            - calx*calz*(sbly*sblz + cbly*cblz*sblx) + cblx*cbly*salx);
  transformMapped[0] = -asin(srx);

  float srycrx = sbcx*(cblx*cblz*(caly*salz - calz*salx*saly)
               - cblx*sblz*(caly*calz + salx*saly*salz) + calx*saly*sblx)
               - cbcx*cbcy*((caly*calz + salx*saly*salz)*(cblz*sbly - cbly*sblx*sblz)
               + (caly*salz - calz*salx*saly)*(sbly*sblz + cbly*cblz*sblx) - calx*cblx*cbly*saly)
               + cbcx*sbcy*((caly*calz + salx*saly*salz)*(cbly*cblz + sblx*sbly*sblz)
               + (caly*salz - calz*salx*saly)*(cbly*sblz - cblz*sblx*sbly) + calx*cblx*saly*sbly);
  float crycrx = sbcx*(cblx*sblz*(calz*saly - caly*salx*salz)
               - cblx*cblz*(saly*salz + caly*calz*salx) + calx*caly*sblx)
               + cbcx*cbcy*((saly*salz + caly*calz*salx)*(sbly*sblz + cbly*cblz*sblx)
               + (calz*saly - caly*salx*salz)*(cblz*sbly - cbly*sblx*sblz) + calx*caly*cblx*cbly)
               - cbcx*sbcy*((saly*salz + caly*calz*salx)*(cbly*sblz - cblz*sblx*sbly)
               + (calz*saly - caly*salx*salz)*(cbly*cblz + sblx*sbly*sblz) - calx*caly*cblx*sbly);
  transformMapped[1] = atan2(srycrx / cos(transformMapped[0]), 
                             crycrx / cos(transformMapped[0]));
  
  float srzcrx = (cbcz*sbcy - cbcy*sbcx*sbcz)*(calx*salz*(cblz*sbly - cbly*sblx*sblz)
               - calx*calz*(sbly*sblz + cbly*cblz*sblx) + cblx*cbly*salx)
               - (cbcy*cbcz + sbcx*sbcy*sbcz)*(calx*calz*(cbly*sblz - cblz*sblx*sbly)
               - calx*salz*(cbly*cblz + sblx*sbly*sblz) + cblx*salx*sbly)
               + cbcx*sbcz*(salx*sblx + calx*cblx*salz*sblz + calx*calz*cblx*cblz);
  float crzcrx = (cbcy*sbcz - cbcz*sbcx*sbcy)*(calx*calz*(cbly*sblz - cblz*sblx*sbly)
               - calx*salz*(cbly*cblz + sblx*sbly*sblz) + cblx*salx*sbly)
               - (sbcy*sbcz + cbcy*cbcz*sbcx)*(calx*salz*(cblz*sbly - cbly*sblx*sblz)
               - calx*calz*(sbly*sblz + cbly*cblz*sblx) + cblx*cbly*salx)
               + cbcx*cbcz*(salx*sblx + calx*cblx*salz*sblz + calx*calz*cblx*cblz);
  transformMapped[2] = atan2(srzcrx / cos(transformMapped[0]), 
                             crzcrx / cos(transformMapped[0]));

  x1 = cos(transformMapped[2]) * transformIncre[3] - sin(transformMapped[2]) * transformIncre[4];
  y1 = sin(transformMapped[2]) * transformIncre[3] + cos(transformMapped[2]) * transformIncre[4];
  z1 = transformIncre[5];

  x2 = x1;
  y2 = cos(transformMapped[0]) * y1 - sin(transformMapped[0]) * z1;
  z2 = sin(transformMapped[0]) * y1 + cos(transformMapped[0]) * z1;

  transformMapped[3] = transformAftMapped[3] 
                     - (cos(transformMapped[1]) * x2 + sin(transformMapped[1]) * z2);
  transformMapped[4] = transformAftMapped[4] - y2;
  transformMapped[5] = transformAftMapped[5] 
                     - (-sin(transformMapped[1]) * x2 + cos(transformMapped[1]) * z2);
}

2. laserOdometryHandler里程计信息处理

将接受到的里程计信息姿态分解成旋转和平移:

//接收laserOdometry的信息
void laserOdometryHandler(const nav_msgs::Odometry::ConstPtr& laserOdometry)
{
  double roll, pitch, yaw;
  geometry_msgs::Quaternion geoQuat = laserOdometry->pose.pose.orientation;
  tf::Matrix3x3(tf::Quaternion(geoQuat.z, -geoQuat.x, -geoQuat.y, geoQuat.w)).getRPY(roll, pitch, yaw);

  //得到旋转平移矩阵
  transformSum[0] = -pitch;
  transformSum[1] = -yaw;
  transformSum[2] = roll;

  transformSum[3] = laserOdometry->pose.pose.position.x;
  transformSum[4] = laserOdometry->pose.pose.position.y;
  transformSum[5] = laserOdometry->pose.pose.position.z;

将姿态从当前帧坐标系转换到地图坐标系:

  transformAssociateToMap();

将转换到地图坐标系后的当前位姿ROS发布:

  geoQuat = tf::createQuaternionMsgFromRollPitchYaw
            (transformMapped[2], -transformMapped[0], -transformMapped[1]);

  laserOdometry2.header.stamp = laserOdometry->header.stamp;
  laserOdometry2.pose.pose.orientation.x = -geoQuat.y;
  laserOdometry2.pose.pose.orientation.y = -geoQuat.z;
  laserOdometry2.pose.pose.orientation.z = geoQuat.x;
  laserOdometry2.pose.pose.orientation.w = geoQuat.w;
  laserOdometry2.pose.pose.position.x = transformMapped[3];
  laserOdometry2.pose.pose.position.y = transformMapped[4];
  laserOdometry2.pose.pose.position.z = transformMapped[5];
  pubLaserOdometry2Pointer->publish(laserOdometry2);

将转换到地图坐标系后的当前位姿TF发布:

  //发送旋转平移量
  laserOdometryTrans2.stamp_ = laserOdometry->header.stamp;
  laserOdometryTrans2.setRotation(tf::Quaternion(-geoQuat.y, -geoQuat.z, geoQuat.x, geoQuat.w));
  laserOdometryTrans2.setOrigin(tf::Vector3(transformMapped[3], transformMapped[4], transformMapped[5]));
  tfBroadcaster2Pointer->sendTransform(laserOdometryTrans2);
}

3. odomAftMappedHandler地图信息处理

接受来自laserMapping中优化后的位姿 T ˉ k W ( t k + 1 ) \bar T^W_{k}(t_{k+1}) TˉkW​(tk+1​):

//接收laserMapping的转换信息
void odomAftMappedHandler(const nav_msgs::Odometry::ConstPtr& odomAftMapped)
{
  double roll, pitch, yaw;
  geometry_msgs::Quaternion geoQuat = odomAftMapped->pose.pose.orientation;
  tf::Matrix3x3(tf::Quaternion(geoQuat.z, -geoQuat.x, -geoQuat.y, geoQuat.w)).getRPY(roll, pitch, yaw);

  transformAftMapped[0] = -pitch;
  transformAftMapped[1] = -yaw;
  transformAftMapped[2] = roll;

  transformAftMapped[3] = odomAftMapped->pose.pose.position.x;
  transformAftMapped[4] = odomAftMapped->pose.pose.position.y;
  transformAftMapped[5] = odomAftMapped->pose.pose.position.z;

  transformBefMapped[0] = odomAftMapped->twist.twist.angular.x;
  transformBefMapped[1] = odomAftMapped->twist.twist.angular.y;
  transformBefMapped[2] = odomAftMapped->twist.twist.angular.z;

  transformBefMapped[3] = odomAftMapped->twist.twist.linear.x;
  transformBefMapped[4] = odomAftMapped->twist.twist.linear.y;
  transformBefMapped[5] = odomAftMapped->twist.twist.linear.z;
}

三、信息发送处理

主要是定义了两个发布的实例:

  ros::Publisher pubLaserOdometry2 = nh.advertise<nav_msgs::Odometry> ("/integrated_to_init", 5);
  pubLaserOdometry2Pointer = &pubLaserOdometry2;
  laserOdometry2.header.frame_id = "/camera_init";
  laserOdometry2.child_frame_id = "/camera";

  tf::TransformBroadcaster tfBroadcaster2;
  tfBroadcaster2Pointer = &tfBroadcaster2;
  laserOdometryTrans2.frame_id_ = "/camera_init";
  laserOdometryTrans2.child_frame_id_ = "/camera";

  ros::spin();

  return 0;
}

四、结语

终于,我写到了这里,如果你也看到了这里,那么恭喜你,也恭喜我。loam的学习也算告一段落了,我把这个学习过程记录在博客的原因就是方便查看,希望能够经常翻翻,但我也希望能够不用再翻拉~~~怕什么真理无穷,进一寸有一寸的欢喜,LeGO-LOAM,go!

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