for the RA-L 2019 publication:
Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan Nieto, “Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery”, IEEE Robotics and Automation Letters, 2019. pdf
Here is the output of
$ rosbag info
for the sequence 231 from the SceneNN dataset bag:
path: scenenn_231.bag version: 2.0 duration: 3:06s (186s) start: Jan 01 1970 01:00:00.03 (0.03) end: Jan 01 1970 01:03:06.35 (186.35) size: 7.9 GB messages: 27495 compression: none [5500/5500 chunks] types: sensor_msgs/CameraInfo [c9a58c1b0b154e0e6da7578cb991d214] sensor_msgs/Image [060021388200f6f0f447d0fcd9c64743] tf/tfMessage [94810edda583a504dfda3829e70d7eec] topics: /camera/depth/camera_info 5499 msgs : sensor_msgs/CameraInfo /camera/depth/image_raw 5499 msgs : sensor_msgs/Image /camera/rgb/camera_info 5499 msgs : sensor_msgs/CameraInfo /camera/rgb/image_raw 5499 msgs : sensor_msgs/Image /tf 5499 msgs : tf/tfMessage
Following is the rosbag information about the office floor sequence captured with two Primesense cameras for the online robotic mapping experiment:
path: asl_office_floor.bag version: 2.0 duration: 5:12s (312s) start: Feb 14 2019 17:18:42.10 (1550161122.10) end: Feb 14 2019 17:23:54.84 (1550161434.84) size: 6.3 GB messages: 118782 compression: none [6223/6223 chunks] types: sensor_msgs/CameraInfo [c9a58c1b0b154e0e6da7578cb991d214] sensor_msgs/Image [060021388200f6f0f447d0fcd9c64743] tf2_msgs/TFMessage [94810edda583a504dfda3829e70d7eec] topics: /ps_front/depth_registered/camera_info 1555 msgs : sensor_msgs/CameraInfo /ps_front/depth_registered/image_raw 1555 msgs : sensor_msgs/Image /ps_front/rgb/camera_info 1556 msgs : sensor_msgs/CameraInfo /ps_front/rgb/image_raw 1556 msgs : sensor_msgs/Image /ps_table/depth_registered/camera_info 1555 msgs : sensor_msgs/CameraInfo /ps_table/depth_registered/image_raw 1555 msgs : sensor_msgs/Image /ps_table/rgb/camera_info 1556 msgs : sensor_msgs/CameraInfo /ps_table/rgb/image_raw 1556 msgs : sensor_msgs/Image /tf 106338 msgs : tf2_msgs/TFMessage (2 connections)
scenenn_231.bag – 7.9 GB – sequence 231 from the SceneNN dataset as RGB-D rosbag.
asl_office_floor.bag – 6.3 GB – office floor sequence captured for the online robotic mapping experiment.