Optical Flow-Based Odometry for Underground Tunnel Exploration

Abstract

As military operations in degraded or GPS-denied environments continue to increase in frequency and importance, there is an increased necessity to be able to determine precision location within these environments. Furthermore, authorities are finding a record number of tunnels along the U.S.-Mexico border; therefore, underground tunnel characterization is becoming a high priority for U.S. Homeland Security as well. This thesis investigates the performance of a new image registration technique based on a two camera optical- flow configuration using phase correlation techniques. These techniques differ from other image based navigation methods but present a viable alternative increasing autonomy and answering the tunnel based navigation problem. This research presents an optical flow based image registration technique and validates its use with experimental results on a mobile vehicle. Results reveal that further extension to pose estimation yields accuracy within 1.3 cm.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA541611

Entities

People

  • Terra Kier

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Autonomous Navigation
  • Coordinate Systems
  • Correlation Techniques
  • Dead Reckoning
  • Detectors
  • Digital Images
  • Global Positioning Systems
  • Guidance
  • Image Processing
  • Military Operations
  • Motion Planning
  • Navigation
  • Robots
  • Two Dimensional
  • United States Government
  • World Geodetic System

Readers

  • Computer Vision.
  • Economics
  • Government and Public Administration Law.

Technology Areas

  • Space