int point_in(VngoPointF &pt) {return point_in(int(pt.x),int(pt.y));}
void LaserProjection::transformLaserScanToPointCloud_ (const std::string &target_frame,
const sensor_msgs::LaserScan &scan_in,
sensor_msgs::PointCloud2 &cloud_out,
tf::Transformer &tf,
double range_cutoff,
int channel_options)
{
//check if the user has requested the index field
bool requested_index = false;
if ((channel_options & channel_option::Index))
requested_index = true;
//we'll enforce that we get index values for the laser scan so that we
//ensure that we use the correct timestamps
channel_options |= channel_option::Index;
projectLaser_(scan_in, cloud_out, -1.0, channel_options);
//we'll assume no associated viewpoint by default
bool has_viewpoint = false;
uint32_t vp_x_offset = 0;
//we need to find the offset of the intensity field in the point cloud
//we also know that the index field is guaranteed to exist since we
//set the channel option above. To be really safe, it might be worth
//putting in a check at some point, but I'm just going to put in an
//assert for now
uint32_t index_offset = 0;
for(unsigned int i = 0; i < cloud_out.fields.size(); ++i)
{
if(cloud_out.fields[i].name == "index")
{
index_offset = cloud_out.fields[i].offset;
}
//we want to check if the cloud has a viewpoint associated with it
//checking vp_x should be sufficient since vp_x, vp_y, and vp_z all
//get put in together
if(cloud_out.fields[i].name == "vp_x")
{
has_viewpoint = true;
vp_x_offset = cloud_out.fields[i].offset;
}
}
ROS_ASSERT(index_offset > 0);
cloud_out.header.frame_id = target_frame;
// Extract transforms for the beginning and end of the laser scan
ros::Time start_time = scan_in.header.stamp;
ros::Time end_time = scan_in.header.stamp + ros::Duration ().fromSec (scan_in.ranges.size () * scan_in.time_increment);
tf::StampedTransform start_transform, end_transform, cur_transform ;
tf.lookupTransform (target_frame, scan_in.header.frame_id, start_time, start_transform);
tf.lookupTransform (target_frame, scan_in.header.frame_id, end_time, end_transform);
double ranges_norm = 1 / ((double) scan_in.ranges.size () - 1.0);
//we want to loop through all the points in the cloud
for(size_t i = 0; i < cloud_out.width; ++i)
{
// Apply the transform to the current point
float *pstep = (float*)&cloud_out.data[i * cloud_out.point_step + 0];
//find the index of the point
uint32_t pt_index;
memcpy(&pt_index, &cloud_out.data[i * cloud_out.point_step + index_offset], sizeof(uint32_t));
// Assume constant motion during the laser-scan, and use slerp to compute intermediate transforms
tfScalar ratio = pt_index * ranges_norm;
//! \todo Make a function that performs both the slerp and linear interpolation needed to interpolate a Full Transform (Quaternion + Vector)
// Interpolate translation
tf::Vector3 v (0, 0, 0);
v.setInterpolate3 (start_transform.getOrigin (), end_transform.getOrigin (), ratio);
cur_transform.setOrigin (v);
// Interpolate rotation
tf::Quaternion q1, q2;
start_transform.getBasis ().getRotation (q1);
end_transform.getBasis ().getRotation (q2);
// Compute the slerp-ed rotation
cur_transform.setRotation (slerp (q1, q2 , ratio));
tf::Vector3 point_in (pstep[0], pstep[1], pstep[2]);
tf::Vector3 point_out = cur_transform * point_in;
// Copy transformed point into cloud
pstep[0] = point_out.x ();
pstep[1] = point_out.y ();
pstep[2] = point_out.z ();
// Convert the viewpoint as well
if(has_viewpoint)
{
float *vpstep = (float*)&cloud_out.data[i * cloud_out.point_step + vp_x_offset];
point_in = tf::Vector3 (vpstep[0], vpstep[1], vpstep[2]);
point_out = cur_transform * point_in;
// Copy transformed point into cloud
vpstep[0] = point_out.x ();
vpstep[1] = point_out.y ();
vpstep[2] = point_out.z ();
}
}
//if the user didn't request the index field, then we need to copy the PointCloud and drop it
if(!requested_index)
{
sensor_msgs::PointCloud2 cloud_without_index;
//copy basic meta data
cloud_without_index.header = cloud_out.header;
cloud_without_index.width = cloud_out.width;
cloud_without_index.height = cloud_out.height;
cloud_without_index.is_bigendian = cloud_out.is_bigendian;
cloud_without_index.is_dense = cloud_out.is_dense;
//copy the fields
cloud_without_index.fields.resize(cloud_out.fields.size());
unsigned int field_count = 0;
unsigned int offset_shift = 0;
for(unsigned int i = 0; i < cloud_out.fields.size(); ++i)
{
if(cloud_out.fields[i].name != "index")
{
cloud_without_index.fields[field_count] = cloud_out.fields[i];
cloud_without_index.fields[field_count].offset -= offset_shift;
++field_count;
}
else
{
//once we hit the index, we'll set the shift
offset_shift = 4;
}
}
//resize the fields
cloud_without_index.fields.resize(field_count);
//compute the size of the new data
cloud_without_index.point_step = cloud_out.point_step - offset_shift;
cloud_without_index.row_step = cloud_without_index.point_step * cloud_without_index.width;
cloud_without_index.data.resize (cloud_without_index.row_step * cloud_without_index.height);
uint32_t i = 0;
uint32_t j = 0;
//copy over the data from one cloud to the other
while (i < cloud_out.data.size())
{
if((i % cloud_out.point_step) < index_offset || (i % cloud_out.point_step) >= (index_offset + 4))
{
cloud_without_index.data[j++] = cloud_out.data[i];
}
i++;
}
//make sure to actually set the output
cloud_out = cloud_without_index;
}
}
int point_in(VngoPoint &pt) {return point_in(pt.x,pt.y);}
