Autonomous Identification of Locations for Unmanned Ground Vehicle (UGV) Cover and Concealment With the Use of Video Images

Abstract

Autonomously identifying appropriate locations that provide cover and concealment for an unmanned ground vehicle (UGV) is a difficult task. This report expands an earlier algorithm for accomplishing this task, based on video images to address the difficulty of handling thin or narrow objects in the UGV environment. The vertical line approach used in the earlier algorithm is expanded to include an analysis of local regions to assess color homogeneity and size criteria. Careful selection of seed pixels attempts to ensure that they represent a potential thin or narrow object and not the background. The expanded algorithm provided very good results, based on the video sequences analyzed.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA433777

Entities

People

  • William F. Oberle

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Vision
  • Detection
  • Detectors
  • Gray Scale
  • Ground Vehicles
  • Identification
  • Image Processing
  • Images
  • Laser Radar
  • Pattern Recognition
  • Three Dimensional
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Vehicles
  • Video Images

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy