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here is the api to convert into pcl data structure .After this we can use Pcl_conversion to convert the cloud into sensor_msg::pointcloud2

    #include "velodyne_pointcloud/calibration.h"
    #include "velodyne_msgs/VelodynePacket.h"
    #include "velodyne_msgs/VelodyneScan.h"
    #include "velodyne_pointcloud/rawdata.h"
    #include "velodyne_pointcloud/point_types.h"
    #include "velodyne_pointcloud/VelodyneConfigConfig.h"
    #include "velodyne_pointcloud/point_types.h"
    #include  "velodyne_pointcloud/calibration.h"
    #include <pcl_conversions/pcl_conversions.h>

void save_3d_lidar(velodyne_msgs::VelodyneScan::ConstPtr v_scan,nav_msgs::Odometry::ConstPtr gps_pose)
{



    pcl::PointCloud<pcl::PointXYZI> cloud_3d;
    pcl::PointXYZI point;
    velodyne_rawdata::RawData data;

    cloud_3d.clear();

    for(int i=0;i<v_scan->packets.size();i++)
    {
        pcl::PointCloud<velodyne_pointcloud::PointXYZIR> v_point_cloud;


        data.setParameters(0.9,130.0,0.0,6.28);
        data.setupOffline("file adresss",130.0,0.9);
        data.unpack(v_scan->packets[i],v_point_cloud);

        for(int j=0;j<v_point_cloud.size();j++)
        {

            point.x=v_point_cloud.points[j].x;

            point.y=v_point_cloud.points[j].y;

            point.z=v_point_cloud.points[j].z;

            point.intensity=v_point_cloud.points[j].intensity;
            cloud_3d.push_back(point);
        }
    }
}