Multi-Target Tracking for Swarm vs. Swarm UAV Systems

Abstract

Unmanned systems, including unmanned aerial vehicles (UAVs), are developing technologies that are becoming increasingly important. This thesis provides a model for generating a common operational picture (COP) for unmanned systems that is applicable in today's technology, and presents results and analysis based on simulation studies. This thesis specifically investigates a swarm versus swarm unmanned systems scenario in which opposing teams of UAVs approach each other. Different methodologies for generating a COP from the perspective of a given team are investigated, and a simulation is designed to explore the performance of the selected strategies for performing multi-target tracking. The results of the simulation show the performance of the presented approach where targets are assumed in the field of view of the tracking agents, false detections may or may not be present, and all entities maneuver according to nondeterministic motion models.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2012
Accession Number
ADA567391

Entities

People

  • Umit Soylu

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Collision Avoidance
  • Computational Complexity
  • Computational Science
  • Data Association
  • Detectors
  • Kalman Filters
  • Mathematical Filters
  • Multitarget Tracking
  • Probability Distributions
  • Sensor Networks
  • Statistical Analysis
  • Target Tracking
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs