Brightness Invariant Port Recognition for Robotic Aircraft Refueling

Abstract

The purpose of this thesis effort was to develop and test a brightness invariant recognition algorithm that would locate and identify the half-scale mock up of a Universal Aerial Refueling Receptacle Slipway Installation (UARRSI) aerial refueling port in different lightening conditions. This was accomplished by developing a brightness invariant port recognition of identifiable attributes of the refueling port to locate and identify the UARRSI port. Based on this approach, a brightness invariant port recognition system (BIPRS) was demonstrated which identified the refueling receptacle in different lightening conditions. The BIPRS was also invariant to orientation and size of the UARRSI port. The BIPRS demonstrated the feasibility of the autonomous aircraft refueling task, and provides an incentive for additional research in autonomous robot applications.

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Document Details

Document Type
Technical Report
Publication Date
Dec 13, 1990
Accession Number
ADA230468

Entities

People

  • Richard A. Bennett

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • C Programming Language
  • Change Detection
  • Computer Languages
  • Computer Programming
  • Computer Vision
  • Computers
  • Detection
  • Image Processing
  • Lists (Data Structures)
  • Object Recognition
  • Orientation (Direction)
  • Pattern Recognition
  • Recognition
  • Refueling In Flight
  • Visual Servoing

Readers

  • Aerospace logistics and air mobility.
  • Neural Network Machine Learning.

Technology Areas

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