Wall Sensing for an Autonomous Robot With a Three-Dimensional Time-of-Flight (3-D TOF) Camera

Report No. ARL-TN-423
Authors: Gary Haas and Philip R. Osteen
Date/Pages: February 2001; 30 pages
Abstract: This report describes recent work in the field of robotic perception research. The objectives of this research are to (1) program a computer to extract geometric planes characteristic of architectural walls in data from a three-dimensional time-of-flight camera, (2) track the planes through a stream of such data as the camera moved slowly through a plane-rich environment, and (3) serve plane descriptors to processes that desire such service. The programs were implemented at a high level using tools from the open-source Robot Operating System (ROS). Tests performed in simple and complex indoor environments demonstrated the ability to identify and track planes. Postprocessing was performed using a separate process within the ROS environment that receives updated planar information. Preliminary results are presented for dynamic scenes, though sensor motion estimates are necessary to properly quantify results.
Distribution: Approved for public release
  Download Report ( 4.762 MBytes )
If you are visually impaired or need a physical copy of this report, please visit and contact DTIC.

Last Update / Reviewed: February 1, 2001