Image-Based Navigation.

Abstract

This report describes add-on work involving the Passive Navigation Study an investigation to determine if a small, low-flying vehicle can be navigated using passively sensed images of the ground. The seminal work was carried out under contract no. F33615-78-C-1612 from 9/15/78 to 12/15/80, during which a stereo bootstrapping approach for position determination was developed. A landmark subsystem was employed to correct the calculated position of the vehicle after a number of bootstrap iterations. An error analysis of the approach and suggestions for further work were included. In this report, an attempt is made to integrate a set of landmark detector schemes with mission task information to locate the vehicle with respect to known ground coordinates.; The navigator can be thought of as a program that processes various subsystem information and makes intelligent decisions to determine vehicle position. An approach is outlined which attempts to simulate a human pilot who navigates by visual correction. In this approach the autonomous aircraft have redundant and independent navigational subsystems and a landmark database. Techniques from the field of artificial intelligence are used to model the subset of human intelligence that pinpoints the vehicles location.

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Document Details

Document Type
Technical Report
Publication Date
Dec 21, 1985
Accession Number
ADA173882

Entities

People

  • M. T. Noga

Organizations

  • Lockheed Martin Missiles and Space

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Altimeters
  • Artificial Intelligence
  • Computational Science
  • Computers
  • Coordinate Systems
  • Databases
  • Dead Reckoning
  • Detection
  • Detectors
  • Guidance
  • Image Processing
  • Inertial Navigation
  • Lists (Data Structures)
  • Measurement
  • Navigation
  • Navigators

Readers

  • Computer Vision.
  • Inertial Navigation Systems.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference