Heterogeneous Teams of Autonomous Vehicles: Advanced Sensing & Control

Abstract

Initial collaborative observations and modeling of a warm effluent plume (Calvert Cliffs Nuclear Power Plant) suggest that coherence length scales in both models and observations are similar leading to confidence in the models for AUV decision making. Studies were initiated to determine if algorithms could be developed that could process current fields and find regions of very low current speed. Tests of the algorithm on a two-dimensional simulated velocity field worked well with true stagnation points found and with no 'false alarms'.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA495081

Entities

People

  • Larry P. Atkinson

Organizations

  • Old Dominion University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Vehicles
  • Boundary Layer
  • Control Systems
  • Layers
  • Nuclear Power Plants
  • Observation
  • Stagnation Point
  • Statistical Analysis
  • Statistics
  • Stratified Fluids
  • Surface Temperature
  • Surveys
  • Two Dimensional
  • United States
  • Unmanned Vehicles
  • Vehicles

Fields of Study

  • Physics

Readers

  • Plasma Physics / Magnetohydrodynamics
  • Regression Analysis.
  • Robotics and Automation.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction