Concept of Operations for Using Computer Vision Capabilities on Tactical Aircraft

Abstract

The integration of computer vision with existing naval aircraft sensors presents an opportunity to leverage data that is normally overlooked or discarded. Every day, sensors that are designed to aid aircrews in navigation or targeting collect thousands of hours of imagery that could be used for intelligence gathering. With no intended effect on aircraft mission and aircrew procedures, computer vision could be installed as anadd-on capability.This thesis develops a basic concept of operations (CONOPS) for integrating computer vision on to tactical naval aircraft. It explores the capabilities of sample aircraft to check the feasibility of aviation-based computer vision. The procedures and demonstrated capabilities of the Surveillance, Persistent Observation, and Target Recognition (SPOTR) system were used as a starting point for the CONOPS. Subject matter experts were solicited for their initial thoughts and feedback of draft CONOPS. The basic engineering process was used as a framework in which to develop the CONOPS. The comparatively short timeline and low cost that an add-on computer vision feature could be added to aircraft make systems like SPOTR a viable option to bring a new capability to the warfighter.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1059970

Entities

People

  • Justin L. King

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Artificial Intelligence
  • Computer Vision
  • Computers
  • Control Systems
  • Detection
  • Detectors
  • Drone Targeting
  • Fighter Aircraft
  • Intelligence Collection
  • Intelligence Cycle
  • Lessons Learned
  • Machine Learning
  • Military Science
  • Organizational Structure
  • Surveillance
  • Tactical Aircraft
  • Target Recognition
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Visible Spectra
  • Warfare

Readers

  • Military History / Militaries and War Studies
  • Software Engineering
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy