Vision-Based Navigation for Autonomous Ground Vehicles

Abstract

This report describes research on ground navigation, dynamic visual surveillance, parallel vision, parallel search, and parallel matrix operations. Specific problems addressed include planning safe paths on terrain, estimating range shadows, road reconstruction, dynamic object pose estimation and tracking; quadtree and pyramid algorithms, border following, Hough transformation, and graph matching.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1992
Accession Number
ADA282904

Entities

People

  • Daniel Dementhon
  • Larry S. Davis

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Navigation
  • Autonomous Systems
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Vision
  • Computers
  • Control Systems
  • Image Processing
  • Information Science
  • Motion Planning
  • Neural Networks
  • Parallel Computing
  • Visual Surveillance

Fields of Study

  • Computer science

Readers

  • Computer Vision.