Autonomous Underwater Vehicle Systems

Abstract

The long-term goal is to understand the physical and biological relationships often requires high resolution sampling far exceeding present capabilities. If spatially adaptive sampling can be developed, data resolution can be greatly improved over that presently possible with conventional sensor platforms. One technique to achieve both spatially and temporally adaptive sampling is an Autonomous Oceanographic Sampling Network (AOSN). The purpose of the network is to provide a technique for spatially adaptive sampling capable of resolving evolving gradients with sparsely distributed sensors. Each network consists of a base buoy and a number of Autonomous Underwater Vehicles (AUVs) at fixed levels. The base buoy serves as a navigation beacon, energy source, telemetry link and surface sensor platform. Each AUV functions as a subsurface sensor platform, short term data logger and programmable, navigable vessel. The long term goal is to develop a suitable AUV to operate in the AOSN.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA627926

Entities

People

  • F. Y. Sorrell

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Bench Tests
  • Control Systems
  • Detectors
  • Field Tests
  • Guidance
  • High Pressure
  • Homing
  • Navigation
  • Oceans
  • Position (Location)
  • Position Finding
  • Salt Water
  • Sea Water
  • Underwater Vehicles
  • Vehicles
  • Water

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.
  • Robotics and Automation.