Detect and Avoid (DAA) Automation Maneuver Study

Abstract

The study described herein was an operator-in-the-loop assessment supporting the development of a Sense and Avoid (SAA) display that enables effective teaming of an Unmanned Aerial Systems (UAS) operator with an advanced SAA maneuver algorithm to safely avoid proximal air traffic. This study examined performance differences between candidate SAA display configurations and automation thresholds while UAS operators controlled a UAS through airspace including several proximal aircraft.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2017
Accession Number
AD1035818

Entities

People

  • Jessica Bartik
  • Lucas Lemasters
  • Sara Darrah
  • Sean Moulton

Organizations

  • Booz Allen Hamilton
  • Infoscitex, Inc.

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Air Traffic
  • Aircrafts
  • Algorithms
  • Altitude
  • Automation
  • Collision Avoidance Systems
  • Data Displays
  • Department Of Defense
  • Flight
  • Flight Training
  • Government Procurement
  • Governments
  • Ground Control Stations
  • Guidance
  • Information Science
  • Maneuvers
  • Military Research
  • Motor Skills
  • Pilots
  • Sense And Avoid Systems
  • Supervisory Control
  • Training
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Aviation Safety and Air Traffic Management
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Space
  • Space - Spacecraft Maneuvers