Autonomous Identification of Vertical Lines in Video Images to Assist in UGV Cover and Concealment

Abstract

The autonomous identification of appropriate locations that provide cover and concealment for a robotic vehicle is a difficult task. Fortunately, many appropriate locations are man-made and are characterized by a distinctive geometric characteristic, specifically, object edges that form vertical straight lines. The object of this report is to propose, implement, and assess an algorithm for the autonomous identification of vertical lines in video images that offer the most appropriate location for cover and concealment. Results obtained from application of the algorithm to a number of video sequences indicate that the algorithm is effective in identifying acceptable locations. Several areas for improvement of the algorithm are suggested and discussed.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA428169

Entities

People

  • William F. Oberle

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Change Detection
  • Computer Programs
  • Computer Vision
  • Detection
  • Detectors
  • Gray Scale
  • Identification
  • Image Processing
  • Images
  • Three Dimensional
  • Unmanned Ground Vehicles
  • Unmanned Vehicles
  • Vehicles
  • Video
  • Video Images

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Robotics and Automation.

Technology Areas

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