Part 1: creating the dump files

Create dump files from the bag file, storing the calibrated RGBD sensor data.

Start the odom_tf_publisher_node which will publish the tf topics synchronized with the odometry topic. Make sure, that transforms.txt contains the calibrated transformations from the base link to the sensor frames.

rosrun fps_mapper odom_tf_publisher_node transforms.txt

The thin_scan_matcher publishes the odometry topic based on localication via laser range finder sensors. We are using this, because it provides a higher accuracy then the robots wheel-encoder-based odometry.

rosrun thin_scan_matcher thin_scan_matcher_node _bpr:=1 _published_odom_topic:=/odom -skip 2

The dumper node itself simply writes the sensor topics to the dump files.

rosrun fps_mapper fps_message_dumper_node \
  -t /calib_camera_front/depth/image_raw \
  -t /calib_camera_left/depth/image_raw \
  -t /calib_camera_right/depth/image_raw \
  -t /camera_front/rgb/image_raw \
  -t /camera_left/rgb/image_raw \
  -t /camera_right/rgb/image_raw \
  -base_link_frame_id /base_link \
  -o dumps/dump_house_good1.txt

The driver_node from the easydepthcalibation package will publish the calibrated sensor topics. We need one node for each RGBD sensor.

rosrun easydepthcalibration driver_node \
  _sub:=/camera_front/depth \
  _pub:=/calib_camera_front/depth \
rosrun easydepthcalibration driver_node \
  _sub:=/camera_left/depth \
  _pub:=/calib_camera_left/depth \
rosrun easydepthcalibration driver_node \
  _sub:=/camera_right/depth \
  _pub:=/calib_camera_right/depth \

Finally we can play the bag file. Make sure to set the rate via -r to a value at which your computer can process all data without dropping any frames.

rosbag play --pause --clock house_good1.bag -r 0.2 -s 140 /odom:=/odom_old

After the playback of the bag files has finished, we have a complete dump of all relevant topics, and can use our offline tools for further processing.

Part 2: creating the map

The fps_local_mapper_gui_app will create a map based on the odometry and RGBD sensor data. We can use the -shrink and -skip command line options to speed up the creation of the map.

workspace/devel/lib/fps_mapper/fps_local_mapper_gui_app \
  -o mapper.house_good1.rgb.txt \
  -t /camera_front/depth/image_raw \
  -rgbt /camera_front/rgb/image_raw \
  -t /camera_left/depth/image_raw \
  -rgbt /camera_left/rgb/image_raw \
  -t /camera_right/depth/image_raw \
  -rgbt /camera_right/rgb/image_raw \
  -tbb 2.5 -obb 4 -shrink 2 -skip 2 -max_distance 3.5 \