Correction of Inertial Navigation System Drift Errors for an Autonomous Land Vehicle Using Optical Radar Terrain Data.

Abstract

It is generally agreed that some type of vision system capable of providing a preview of terrain is an important attribute of a driverless vehicle. One approach to providing this capability is to use active images such as those obtained by sonar or radar. This thesis is concerned with a computer simulation study of an approach to data processing for range images obtained from an optical radar system using a scanning laser beam. The system studied is modeled after the ERIM scanner mounted on the adaptive Suspension Vehicle walking machine developed at Ohio State University. Both the problem of register successive images in the presence of vehicle motion and of optimally averaging such images to obtain more accurate terrain elevation data are investigated in the thesis.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA184973

Entities

People

  • Mark D. Rickenbach

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Navigation
  • Computational Science
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Dead Reckoning
  • Image Processing
  • Inertial Navigation
  • Inertial Navigation Systems
  • Navigation
  • Navigational Equipment
  • Radar
  • Robot Navigation
  • Robots
  • Unmanned Vehicles
  • World Geodetic System

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.
  • Robotics and Automation.

Technology Areas

  • Directed Energy