Rplidar学习（四）—— ROS下进行rplidar雷达数据采集源码分析

一、子函数分析

1、发布数据子函数

（1）雷达数据数据类型

Header header            # timestamp in the header is the acquisition time of
                         # the first ray in the scan.
                         #
                         # in frame frame_id, angles are measured around
                         # the positive Z axis (counterclockwise, if Z is up)
                         # with zero angle being forward along the x axis

float32 angle_min        # start angle of the scan [rad]
float32 angle_max        # end angle of the scan [rad]
float32 angle_increment  # angular distance between measurements [rad]

float32 time_increment   # time between measurements [seconds] - if your scanner
                         # is moving, this will be used in interpolating position
                         # of 3d points
float32 scan_time        # time between scans [seconds]

float32 range_min        # minimum range value [m]
float32 range_max        # maximum range value [m]

float32[] ranges         # range data [m] (Note: values < range_min or > range_max should be discarded)
float32[] intensities    # intensity data [device-specific units].  If your
                         # device does not provide intensities, please leave
                         # the array empty.

（2）雷达发布子函数分析

/***********************打印函数*************************/
void publish_scan(ros::Publisher *pub,                                 //对象
                  rplidar_response_measurement_node_t *nodes,          //雷达数据
                  size_t node_count, ros::Time start,                  //长度，起始时间
                  double scan_time, bool inverted,                     //扫描时间，是否转换
                  float angle_min, float angle_max,                    //角度范围
                  std::string frame_id)                                //id
{
    static int scan_count = ;
    sensor_msgs::LaserScan scan_msg;         //ros已有的雷达数据模型

    scan_msg.header.stamp = start;           //扫描起始时间
    scan_msg.header.frame_id = frame_id;     //序列id
    scan_count++;                            //计数

    //角度修正，从小到大
    bool reversed = (angle_max > angle_min);
    if ( reversed )
    {
      scan_msg.angle_min =  M_PI - angle_max;
      scan_msg.angle_max =  M_PI - angle_min;
    } else
    {
      scan_msg.angle_min =  M_PI - angle_min;
      scan_msg.angle_max =  M_PI - angle_max;
    }

    //扫描精度
    scan_msg.angle_increment =
        (scan_msg.angle_max - scan_msg.angle_min) / (double)(node_count-);

    scan_msg.scan_time = scan_time;                                      //扫描时间开始
    scan_msg.time_increment = scan_time / (double)(node_count-);        //时间间隔
    scan_msg.range_min = 0.15;                                           //最小的范围
    scan_msg.range_max = 8.0;                                            //最大的范围

    scan_msg.intensities.resize(node_count);                             //信号质量
    scan_msg.ranges.resize(node_count);                                  //范围

    bool reverse_data = (!inverted && reversed) || (inverted && !reversed);
    if (!reverse_data)
    {
        for (size_t i = ; i < node_count; i++)
        {
            float read_value = (float) nodes[i].distance_q2/4.0f/;     //距离信息
            if (read_value == 0.0)
                scan_msg.ranges[i] = std::numeric_limits<float>::infinity();
            else
                scan_msg.ranges[i] = read_value;
            scan_msg.intensities[i] = (float) (nodes[i].sync_quality >> );//信号质量信息
        }
    }
    else
    {
        for (size_t i = ; i < node_count; i++)
        {
            float read_value = (float)nodes[i].distance_q2/4.0f/;
            if (read_value == 0.0)
                scan_msg.ranges[node_count--i] = std::numeric_limits<float>::infinity();
            else
                scan_msg.ranges[node_count--i] = read_value;

            scan_msg.intensities[node_count--i] = (float) (nodes[i].sync_quality >> );
        }
    }

    pub->publish(scan_msg);
}

2、得到设备信息子函数

/*****************得到设备信息**************************/
bool getRPLIDARDeviceInfo(RPlidarDriver * drv)
{
    u_result     op_result;
    rplidar_response_device_info_t devinfo;

    //得到设备信息
    op_result = drv->getDeviceInfo(devinfo);

    //失败信息
    if (IS_FAIL(op_result))
    {
        if (op_result == RESULT_OPERATION_TIMEOUT)
        {
            fprintf(stderr, "Error, operation time out.\n");
        } else
        {
            fprintf(stderr, "Error, unexpected error, code: %x\n", op_result);
        }
        return false;
    }

    // print out the device serial number, firmware and hardware version number..序列号
    printf("RPLIDAR S/N: ");
    for (int pos = ; pos <  ;++pos)
    {
        printf("%02X", devinfo.serialnum[pos]);
    }
    //版本
    printf("\n"
           "Firmware Ver: %d.%02d\n"
           "Hardware Rev: %d\n"
           , devinfo.firmware_version>>
           , devinfo.firmware_version & 0xFF
           , (int)devinfo.hardware_version);
    return true;
}

3、检查rplidar设备健康信息

bool checkRPLIDARHealth(RPlidarDriver * drv)
{
    u_result     op_result;
    rplidar_response_device_health_t healthinfo;

    op_result = drv->getHealth(healthinfo);
    if (IS_OK(op_result)) {
        printf("RPLidar health status : %d\n", healthinfo.status);

        if (healthinfo.status == RPLIDAR_STATUS_ERROR) {
            fprintf(stderr, "Error, rplidar internal error detected."
                            "Please reboot the device to retry.\n");
            return false;
        } else {
            return true;
        }

    } else {
        fprintf(stderr, "Error, cannot retrieve rplidar health code: %x\n",
                        op_result);
        return false;
    }
}

4、雷达开始/结束

bool stop_motor(std_srvs::Empty::Request &req,
                               std_srvs::Empty::Response &res)
{
  if(!drv)
       return false;

  ROS_DEBUG("Stop motor");
  drv->stop();
  drv->stopMotor();
  return true;
}

bool start_motor(std_srvs::Empty::Request &req,
                               std_srvs::Empty::Response &res)
{
  if(!drv)
       return false;
  ROS_DEBUG("Start motor");
  drv->startMotor();
  drv->startScan();;
  return true;
}

5、main函数分析

int main(int argc, char * argv[])
{
    ros::init(argc, argv, "rplidar_node");

    std::string serial_port;          //串口号
    int serial_baudrate = ;     //串口波特率
    std::string frame_id;             //id
    bool inverted = false;            //是否转换标志位
    bool angle_compensate = true;     //角度补偿标志位

    ros::NodeHandle nh;
    ros::Publisher scan_pub = nh.advertise<sensor_msgs::LaserScan>("scan", );
    ros::NodeHandle nh_private("~");

    //launch可以进行一些初始化
    nh_private.param<std::string>("serial_port", serial_port, "/dev/ttyUSB0");
    nh_private.param<int>("serial_baudrate", serial_baudrate, );
    nh_private.param<std::string>("frame_id", frame_id, "laser_frame");
    nh_private.param<bool>("inverted", inverted, false);
    nh_private.param<bool>("angle_compensate", angle_compensate, true);

    printf("RPLIDAR running on ROS package rplidar_ros\n"
           "SDK Version: "RPLIDAR_SDK_VERSION"\n");

    u_result  op_result;

    // create the driver instance,创建静态接口
    drv = RPlidarDriver::CreateDriver(RPlidarDriver::DRIVER_TYPE_SERIALPORT);

    if (!drv)  //创建失败退出-2
    {
        fprintf(stderr, "Create Driver fail, exit\n");
        return -;
    }

    // make connection...建立链接，失败返回-1
    if (IS_FAIL(drv->connect(serial_port.c_str(), (_u32)serial_baudrate)))
    {
        fprintf(stderr, "Error, cannot bind to the specified serial port %s.\n"
            , serial_port.c_str());
        RPlidarDriver::DisposeDriver(drv);
        return -;
    }

    // get rplidar device info 获得设备信息
    if (!getRPLIDARDeviceInfo(drv))
    {
        return -;
    }

    // check health...检查设备是否健康
    if (!checkRPLIDARHealth(drv))
    {
        RPlidarDriver::DisposeDriver(drv);
        return -;
    }

    //添加回调函数
    ros::ServiceServer stop_motor_service = nh.advertiseService("stop_motor", stop_motor);
    ros::ServiceServer start_motor_service = nh.advertiseService("start_motor", start_motor);

    //开电机进行扫描
    drv->startMotor();
    drv->startScan();

    //记录扫描起始时间，持续时间
    ros::Time start_scan_time;
    ros::Time end_scan_time;
    double scan_duration;

    while (ros::ok())
    {
        //储存信号质量，角度信息，距离信息的变量
        rplidar_response_measurement_node_t nodes[*];

        size_t   count = _countof(nodes); //得到数组长度

        //得到扫描时间，雷达数据
        start_scan_time = ros::Time::now();
        op_result = drv->grabScanData(nodes, count);
        end_scan_time = ros::Time::now();
        scan_duration = (end_scan_time - start_scan_time).toSec() * 1e-;

        //成功扫描
        if (op_result == RESULT_OK)
        {
            //得到排序后的雷达数据
            op_result = drv->ascendScanData(nodes, count);

            float angle_min = DEG2RAD(0.0f);
            float angle_max = DEG2RAD(359.0f);

            if (op_result == RESULT_OK)
            {
                //进行角度补偿
                if (angle_compensate)
                {
                    const int angle_compensate_nodes_count = ;
                    const int angle_compensate_multiple = ;
                    int angle_compensate_offset = ;

                    //初始化，清0
                    rplidar_response_measurement_node_t angle_compensate_nodes[angle_compensate_nodes_count];
                    memset(angle_compensate_nodes, , angle_compensate_nodes_count*sizeof(rplidar_response_measurement_node_t));

                    int i = , j = ;
                    for( ; i < count; i++ )
                    {
                        if (nodes[i].distance_q2 != )  //距离不是0
                        {
                            //计算当前角度，如果角度比上次小则，记录
                            float angle = (float)((nodes[i].angle_q6_checkbit >> RPLIDAR_RESP_MEASUREMENT_ANGLE_SHIFT)/64.0f);
                            int angle_value = (int)(angle * angle_compensate_multiple);
                            if ((angle_value - angle_compensate_offset) < )
                                angle_compensate_offset = angle_value;

                            for (j = ; j < angle_compensate_multiple; j++)   //只修正一个
                            {
                                angle_compensate_nodes[angle_value-angle_compensate_offset+j] = nodes[i];
                            }
                        }
                    }

                    publish_scan(&scan_pub,
                             angle_compensate_nodes, angle_compensate_nodes_count,
                             start_scan_time, scan_duration, inverted,
                             angle_min, angle_max,
                             frame_id);
                }
                else
                {
                    int start_node = , end_node = ;
                    int i = ;
                    // find the first valid node and last valid node
                    while (nodes[i++].distance_q2 == );
                    start_node = i-;
                    i = count -;
                    while (nodes[i--].distance_q2 == );
                    end_node = i+;

                    angle_min = DEG2RAD((float)(nodes[start_node].angle_q6_checkbit >> RPLIDAR_RESP_MEASUREMENT_ANGLE_SHIFT)/64.0f);
                    angle_max = DEG2RAD((float)(nodes[end_node].angle_q6_checkbit >> RPLIDAR_RESP_MEASUREMENT_ANGLE_SHIFT)/64.0f);

                    publish_scan(&scan_pub, &nodes[start_node], end_node-start_node +,
                             start_scan_time, scan_duration, inverted,
                             angle_min, angle_max,
                             frame_id);
               }
            }
            else if (op_result == RESULT_OPERATION_FAIL)
            {
                // All the data is invalid, just publish them
                float angle_min = DEG2RAD(0.0f);
                float angle_max = DEG2RAD(359.0f);

                publish_scan(&scan_pub, nodes, count,
                             start_scan_time, scan_duration, inverted,
                             angle_min, angle_max,
                             frame_id);
            }
        }

        ros::spinOnce();
    }

    // done!
    drv->stop();
    drv->stopMotor();
    RPlidarDriver::DisposeDriver(drv);
    return ;
}

二、rplidar.launch文件分析

<launch>
  <node name="rplidarNode"          pkg="rplidar_ros"  type="rplidarNode" output="screen">
  <param name="serial_port"         type="string" value="/dev/ttyUSB0"/>
  <param name="serial_baudrate"     type="int"    value=""/>
  <param name="frame_id"            type="string" value="laser"/>
  <param name="inverted"            type="bool"   value="false"/>
  <param name="angle_compensate"    type="bool"   value="true"/>
  </node>
</launch>

1、运行launch文件

（1）格式：

roslaunch package_name launch_file_name

 Tip1: rosrun只能运行一个nodes， roslaunch可以同时运行多个nodes

（2）详细显示(request verbosity)

（3） 结束launch文件

ctrl+c

2、创建launch文件

(1) launch文件一般以.launch后缀作为文件名，放在package的launch文件夹下。最简单的launch文件可以仅包含几个nodes。

(2) Launch文件是XML文件，每个XML文件必须有一个root element。而launch文件的root element由一对launch 标签定义。

<launch>

...

</launch>

(3) launch文件的核心是一系列node elements，每个node element启动一个node。Node element看起来如下

<node

  pkg=”package_name” type=”executable_name” name=”node_name”

/>

#Tip1: 最后的“/”是必不可少的。

#Tip2: 也可以写成<node pkg=”..” type=”...” name=”...”></node>

#如果该node中有其他tags，则必须使用这种形式。

(4) 一个node element包含三个必须的属性：pkg, type, name.

　　pkg和type属性指出ROS应该运行哪个pkg中的哪个node，注意：此处的type是可执行文件的名称，而name则是可以任意给出的，它覆盖了原有文件中ros::init指定的node name。

(5) node日志文件(log file)

　　运行roslaunch和rosrun运行单个节点的区别之一是，默认情况下，roslaunch运行的nodes的标准输出会重定向到log file，而不是控制台

~/.ros/log/run_id/node_name-number-stdout.log

(6) 输出到控制台

　　用output属性， output=”screen”；这种方法仅显示一个node。

　　若显示所有nodes的输出，用--screen命令行。

roslaunch --screen package_name launch_file_name

　　如果正在运行的文件没有显示想要对输出，可以查看该node属性集中是否有 output=”screen”.

(7) 在独立的窗口运行各nodes

　　我们在各自的termin运行rosrun node_name；但是运行roslaunch时，所有的nodes共用一个相同的terminal，这对于那些需要从控制台输入的nodes很不方便。可以使用launch-prefix属性。

launch-prefix=”command-prefix”

Eg：launch-prefix=”xterm -e”    等价于   xterm -e rosrun turtlesim turtle_teleop_key

　　xterm 命令表示新建一个terminal； -e参数告诉xterm执行剩下的命令行。

　　当然，launch-prefix属性不仅仅限于xterm。它可用于调试（通过gdb或valgrind），或用于降低进程的执行顺序（通过nice）.