A Mine Search Algorithm for the Naval Postgraduate School Autonomous Underwater Vehicle.

Abstract

This thesis develops, implements and tests a mine search algorithm for the Naval Postgraduate School Autonomous Underwater Vehicle (Phoenix). The vehicle is 72 inches long and displaces 400 pounds. Its maneuvers are performed using two propellers and four thrustem. It contains two embedded computer systems. The algorithm directs the autonomous search of a specified area mapping all obstacles and computing an estimate of the cumulative probability of detection. The algorithm uses no prior knowledge of the terrain or the location of mines. The algorithm, which is written in Lisp, can execute on the vehicle's computer systems. Along with the search and mapping capabilities, the algorithm executes obstacle avoidance. The algorithm is tested in several simulated scenarios with different placement of mines and obstacles; the amount of resources used and the fraction of the area searched is computed. A similar algorithm that uses hill-climbing search is implemented for comparison. In all cases, the newly developed algorithm performed equal or better than the one that uses hill-climbing.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA290024

Entities

People

  • Jose Augusto
  • Rodrigues Neto

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Underwater Vehicles
  • Collision Avoidance
  • Computer Programs
  • Computer Science
  • Computer Vision
  • Computers
  • Detection
  • Engineering
  • Lisp Programming Language
  • Mechanical Engineering
  • Motion Planning
  • Object Recognition
  • Operations Research
  • Underwater Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.