Modeling Situation Awareness in a UAV Scenario Using SysML

Abstract

The U.S. Department of Defense (DoD) is rapidly moving towards using increasingly automated systems. Unmanned Aerial Systems (UAS) will be used in contested environments where direct human control may be impossible for long stretches of time. This increase in automation brings with it challenges in maintaining resilient Situation Awareness (SA) for operators, who still need to set goals for the UAS to accomplish their missions. Simultaneously, the DoD is increasing the adoption of Model-Based Systems Engineering (MBSE) in the development of weapon systems. This thesis explores the use of SysML to model of an SA repair system for a UAS and simulates it with the use of a model-based clock.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2021
Accession Number
AD1136811

Entities

People

  • Tommy R Hernandez

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Autonomous Systems
  • Communication Systems
  • Control Systems
  • Digital Engineering
  • Engineering
  • Model Based Systems Engineering
  • Situational Awareness
  • Systems Engineering
  • Systems Management
  • Systems Modeling Language
  • United States
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs