Distance Estimation Using Handheld Devices

Abstract

The different capabilities mobile devices can offer in the field of distance estimation for military applications are explored in this thesis. Of particular interest is the potential for using computer vision techniques to estimate distance in an operational military environment. The methods used for this investigation include a review of past literature on computer vision techniques in this domain, as well as an exploration of the different capabilities mobile devices offer in terms of sensors and networking. We present two potential solutions. The first is a simulation of a distance estimation algorithm that gives the distance to the target using a pair of hyper stereo images. The second solution is a web-based mobile application prototype developed in HTML5. This prototype is intended for the use of untrained forward observers. It goes through the basic steps of a call for fire mission as required by a forward observer, with a focus on distance estimation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA585886

Entities

People

  • Souhaiel B. Tekaya

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computer Stereo Vision
  • Computer Vision
  • Computers
  • Feature Extraction
  • Global Positioning Systems
  • Gray Scale
  • Military Operations
  • Mobile Devices
  • Mobile Phones
  • Personal Computers
  • Smartphones
  • Web Browsers
  • World Geodetic System

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Sensor Fusion and Tracking Systems.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy