Comparison of Optic Flow in the Visible Light and Infrared Spectrum

Abstract

Insects use a method of Wide Field Integration (WFI) to navigate efficiently through unknown environments. Using these natural paradigms, various WFI based forms of navigation can be implemented based on electro-mechanical vision devices on robotic vehicles. However, under low light and/or suspended particles in the environment, these methods become less useful. One solution to this problem is to use infrared vision sensors rather than visible light sensors. This would allow insect-like navigation for autonomous vehicles under a variety of lighting conditions including a total lack of visible light. The results show that, using infrared sensors it is possible to navigate under a variety of lighting conditions, even where visible light sensors become ineffective.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA606397

Entities

People

  • Michael Chinn

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Computers
  • Detectors
  • Differential Equations
  • Engineering
  • Environment
  • Equations
  • Image Processing
  • Infrared Spectra
  • Measurement
  • Navigation
  • Processing Equipment
  • Spectra
  • Two Dimensional
  • Unmanned Vehicles
  • Vehicles
  • Visible Spectra

Readers

  • Computer Vision.
  • Inertial Navigation Systems.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy