Vision-Based Navigation for Autonomous Ground Vehicles.

Abstract

The report describes both new equipment added to our laboratory and the research performed on autonomous vehicle navigation. We describe the design of a structured light range scanner that has been built and mounted on our robot arm. This scanner provides us with the capability of generating range data similar to that obtainable on the Autonomous Land Vehicle (ALV) using the ERIM scanner. The report also describes the following research projects conducted during the past year: (1) The design and implementation of a rule-based road following system; (2) Road obstacle detection in range data; (3) Theoretical analysis of the accuracy of road recovery using motion stereo; (4) Parallel vision on the Connection Machine. Finally, the report ends with a discussion of our plans for research during the next three years of our autonomous vehicle navigation research. (FR)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1988
Accession Number
ADA207596

Entities

People

  • Larry S. Davis

Organizations

  • University of Maryland

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Autonomous Navigation
  • Autonomous Systems
  • Autonomous Vehicles
  • Brushless Dc Motors
  • Computational Science
  • Computer Programming
  • Computer Vision
  • Coordinate Systems
  • Data Processing
  • Detectors
  • Geometry
  • Image Processing
  • Navigation
  • Pattern Recognition
  • Range Finding
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Robotics and Automation.
  • Technical Research and Report Writing.

Technology Areas

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