Target Acquisition for Projectile Vision-Based Navigation

Abstract

The application of computer vision to projectile navigation is a novel and untested proposition. As such, it is natural to wonder at this early stage how optical constraints may impact system performance. In this report, we develop a model for visual acquisition for a strap-down forward-facing imager with a constant field of view. Several prototypical scenarios are modeled, including stationary and moving target engagements. We further address the question of where to optimally place the initial ballistic impact point in relation to targets of uncertain position and heading. Finally, results of Monte Carlo simulations are presented to characterize the effects of target location error on visual acquisition.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2014
Accession Number
ADA598883

Entities

People

  • Moshe Hamaoui

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Computer Vision
  • Detection
  • Differential Equations
  • Distribution Functions
  • Impact Point
  • Measurement
  • Monte Carlo Method
  • Moving Targets
  • Navigation
  • Precision-Guided Munitions
  • Projectiles
  • Simulations
  • Target Acquisition
  • Target Recognition
  • Targets
  • Two Dimensional

Readers

  • Computer Vision.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy