A Visual Navigation System for Autonomous Land Vehicles.

Abstract

The Computer Vision Laboratory at the University of Maryland has developed a modular system architecture to support visual navigation by an autonomous land vehicle. The system consists of vision modules performing image processing, 3-D shape recovery, and rule-based reasoning, as well as modules for planning, navigating, and piloting. Keywords include: Computer vision, Image processing, Autonomous navigation, Road following, and Rule-based reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1985
Accession Number
ADA160642

Entities

People

  • A. M. Waxman
  • E. Liang
  • J. Lemoigne
  • L. S. Davis
  • T. Siddalingaiah

Organizations

  • University of Maryland

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Collision Avoidance
  • Computer Vision
  • Coordinate Systems
  • Databases
  • Dead Reckoning
  • Detectors
  • Euler Angles
  • Geometry
  • Hyperbolic Navigation
  • Image Processing
  • Inertial Navigation
  • Loran
  • Motion Planning
  • Navigation
  • Navigators
  • Three Dimensional
  • Two Dimensional

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems