Use of a Photosimulation Laboratory for Estimating Vehicle Detection Probability and Comparing Detection Metrics

Abstract

A method is described for using a photosimulation laboratory environment to compare detection metrics and evaluate the effectiveness of camouflage for military vehicles. There are distinct advantages to acquiring images at the field site and then bringing them back to a laboratory environment for observer testing versus taking the subjects out to the field for estimating detection probability. Laboratory testing using field acquired imagery provides a repeatable, secure, and relatively low-cost way to generate consistent data for the measurement of the effectiveness of camouflage relative to a baseline vehicle, and the calibration and validation of target acquisition models. A laboratory test procedure is described by the authors in which a baseline Light Armored Vehicle (LAV) is compared to a treated LAV in the TACOM Visual Perception Laboratory (VPL) using imagery collected from the field in the manner prescribed by an experimental design.

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Document Details

Document Type
Technical Report
Publication Date
Apr 15, 2003
Accession Number
ADA456809

Entities

People

  • Darryl Bryk
  • David Bednarz
  • Euijung Sohn
  • Kimberly Lane
  • Thomas J. Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Armored Vehicles
  • Aspect Angle
  • Combinatorial Analysis
  • Detection
  • Detectors
  • Equations
  • Experimental Design
  • Field Tests
  • Fuzzy Logic
  • Governments
  • Laboratory Tests
  • Light Armored Vehicles
  • Operations Security
  • Security
  • Test And Evaluation
  • Test Methods
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.