Real-Time Pattern Recognition for Guidance of an Autonomous Undersea Submersible

Abstract

This paper reports the initial results of an effort to develop simple and fast vision algorithms on compact and imbeddable hardware for the guidance and control of an autonomous underwater vehicle. The specific a application involves tracking underwater cables and chains. Feature points are identified in the underwater video images using a technique which combines segmentation by gray level an run length. Hough transformation is then used to find the straight line in the image. The process is performed at a throughput of approximately 1 image per second using a PC-bus video frame grabber and a PC/AT compatible micro-computer.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA422544

Entities

People

  • A. L. Pai
  • Hoa G. Nguyen
  • Paul J. Heckman Jr.

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Underwater Vehicles
  • Autonomous Vehicles
  • Computer Science
  • Computer Vision
  • Computers
  • Detectors
  • Guidance
  • Image Processing
  • Image Recognition
  • Images
  • Pattern Recognition
  • Recognition
  • Underwater Vehicles
  • Vehicles
  • Video Images

Readers

  • Computer Science.
  • Computer Vision.
  • Electrical Engineering

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms