Vision-Based Navigation for Autonomous Ground Vehicles

Abstract

This is a summary report for contract DACA 76-84-C-0004, Vision Based Navigation for Autonomous Ground Vehicles. Our research has resulted in seventeen technical reports (list appended to this report, with abstracts), many of which have been subsequently published in journals, conferences and workshops. Additionally, our project involved close collaboration with the Martin Marietta Corporation, Denver, Colorado, in the development and testing the vision algorithms for navigation of roads and road networks. Several experiments were run on the Martin Marietta Autonomous Land Vehicle using programs developed at the University of Maryland, and some critical components of Martin Marietta's visual navigation system were based on fundamental research conducted at the University of Maryland and under support of this contract specifically, the overall framework of a focus-of-attention vision system, in which detailed analyses are performed on selected windows of images of roads, and the shape-from-contour algorithms (e.g., the zero bank algorithm) that allowed the vehicle software to recover an accurate three-dimensional road model from monocular imagery, thus saving the autonomous land vehicle (ALV) from having to perform costly, and less reliable, analyses based on either stereo or motion.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA211584

Entities

People

  • Larry S. Davis

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Autonomous Navigation
  • Cameras
  • Collision Avoidance
  • Computer Vision
  • Contracts
  • Control Systems
  • Coordinate Systems
  • Geometry
  • Ground Vehicles
  • Image Processing
  • Navigation
  • Parallel Processing
  • Pattern Recognition
  • Three Dimensional
  • Universities

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Technical Research and Report Writing.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.