Vision Aided Inertial Navigation System Augmented with a Coded Aperture

Abstract

Navigation through an indoor environment is a formidable challenge for an autonomous micro air vehicle. One solution is a vision aided inertial navigation system using depth-from-defocus to determine heading and depth to features in the scene. Depth-from-defocus uses a focal blur pattern to estimate depth. As depth increases, the observable change in the focal blur is generally reduced. Consequently, as the depth of a feature to be measured increases, the measurement performance decreases. The Fresnel zone plate, used as an aperture, introduces multiple focal planes. Interference between the multiple focal planes produce changes in the aperture that extend the depth at which changes in the focal blur are observable. This improved depth measurement performance results in improved performance of the vision aided navigation system as well. This research provides an in-depth study of the Fresnel zone plate used as a coded aperture and the performance improvement obtained by augmenting a single camera vision aided inertial navigation system.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2011
Accession Number
ADA538995

Entities

People

  • Jamie R. Morrison

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Diffraction
  • Focal Planes
  • Fresnel Zones
  • Global Positioning Systems
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • Kalman Filters
  • Light Sources
  • Measurement
  • Micro Air Vehicles
  • Military Research
  • Navigation
  • Optical Properties

Fields of Study

  • Physics

Readers

  • Computer Science.
  • Image Processing and Computer Vision.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.