Development of Adaptive Algorithms for Visual Control of Autonomous Multi-Vehicle Systems

Abstract

This grant developed guidance and control algorithms for coordination of multiple vehicles in uncertain adversarial environments, Particular emphasis was on the use of vision-based sensors. The particular objectives were motivated by various mission scenarios that a system of autonomous vehicles might need to accomplish. Examples include intelligent surveillance and reconnaissance (ISR), ground target suppression, sequential autolanding, search and rescue, etc.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA512547

Entities

People

  • Naira Hovakimyan

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Automatic Pilots
  • Collision Avoidance
  • Communication Networks
  • Control Systems
  • Control Theory
  • Engineering
  • Guidance
  • Mathematics
  • Moving Targets
  • Navigation
  • Network Topology
  • Operations Research
  • Standards
  • Target Tracking
  • Vehicles

Readers

  • Robotics and Automation.
  • Sensor Fusion and Tracking Systems.

Technology Areas

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