Stereo Vision: A Comparison Of Synthetic Imagery vs Real World Imagery For The Automated Aerial Refueling Problem

Abstract

Missions using unmanned aerial vehicles (UAV) have increased in the past decade. However, there is not currently a way to refuel these aircraft. Accomplishing automated aerial refueling (AAR) can be made possible using the stereo vision system on the KC-46. Real world experiments for the AAR problem are expensive and a logistical nightmare. Currently, research performed in a virtual world has shown promising results using computer vision. It is possible to use the virtual world as a substitute environment for the real world. This research compares the performance of stereo vision algorithms on synthetic and real world imagery.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2018
Accession Number
AD1056210

Entities

People

  • Nicholas J Seydel

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Cameras
  • Computer Stereo Vision
  • Data Analysis
  • Detection
  • Detectors
  • Global Positioning Systems
  • Kalman Filters
  • Refueling In Flight
  • Statistical Analysis
  • Tanker Aircraft
  • Three Dimensional
  • United States Government
  • Unmanned Aerial Vehicles
  • Virtual Reality

Fields of Study

  • Computer science

Readers

  • Aerospace logistics and air mobility.
  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - UAVs