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

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.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
ADA539897

Entities

People

  • Gary Haas
  • Philip R. Osteen

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Complementary Metal-Oxide Semiconductors
  • Computers
  • Data Sets
  • Environment
  • Factor Analysis
  • Measurement
  • Military Research
  • Operating Systems
  • Perception
  • Point Clouds
  • Robotics
  • Simultaneous Localization And Mapping
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy