lcmt_point_cloud.lcm

package drake;

// Generic point cloud with runtime typing.
//
// Modeled after PCL and ROS conventions:
// https://pointclouds.org/documentation/structpcl_1_1_p_c_l_point_cloud2.html
// https://docs.ros.org/en/api/sensor_msgs/html/msg/PointCloud2.html
//
struct lcmt_point_cloud {
  // Timestamp in microseconds.
  int64_t utime;

  // The name of a frame this data is associated with.
  string frame_name;

  // If the cloud is structured, this is the 2D width.
  // If the cloud is unstructured, this is the number of points in the cloud.
  int64_t width;

  // If the cloud is structured, this is the 2D height.
  // If the cloud is unstructured, this is set to 1.
  int64_t height;

  // Descriptions of the fields.
  int32_t num_fields;
  lcmt_point_cloud_field fields[num_fields];

  // Bitfield of flags describing this.  See the "IS_..." constants below.
  int64_t flags;

  // Number of bytes between each successive point.  This is always at least the
  // sum of all field sizes, but may be larger if the data has internal padding.
  int32_t point_step;

  // Number of bytes between each successive row.
  int64_t row_step;

  // Optional filler bytes to allow the raw point data to be aligned in memory.
  int16_t filler_size;
  byte filler[filler_size];

  // The raw point data.
  int64_t data_size;
  byte data[data_size];

  // === Constants for the flags bits ===

  // Set iff data is big-endian.
  const int64_t IS_BIGENDIAN = 1;

  // Set iff data contains only finite values.  (ROS sometimes uses "is_dense"
  // to refer to this concept, but not all implementations agree on whether
  // "dense" means "strictly finite" or "provides full width x height matrix
  // with possibly infinite values", so we use a less ambiguous term here.)
  const int64_t IS_STRICTLY_FINITE = 2;
}