Performance Analysis for a Vision-Based Target Tracking System of a Small Unmanned Aerial Vehicle

Abstract

This thesis analyzes performance of the vision-based target-tracking system developed at the Naval Postgraduate School using the Monte Carlo method. Specifically, sensitivities of the target position estimation algorithm to various sensor errors are computed and analyzed. Furthermore, dependence of this algorithm on the performance of the target-tracking control system is established.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2005
Accession Number
ADA439564

Entities

People

  • Todd M. Trago

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Computers
  • Control Systems
  • Databases
  • Estimators
  • Global Positioning Systems
  • Ground Control Stations
  • Guidance
  • Human Factors Engineering
  • Measurement
  • Monte Carlo Method
  • Navigation
  • Random Variables
  • Simulators
  • Target Tracking
  • Unmanned Aerial Vehicles

Fields of Study

  • Engineering

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Quantum Chemistry
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy