Collaborative Search Planning for Multiple Vehicles in Nonhomogeneous Environments

Abstract

The planning of search paths of multiple unmanned undersea vehicles is complicated by taking into consideration the effects that potential cross-vehicle collaboration may have on their performance. Such collaboration is expected to have the effects of increasing the quality and accuracy of search over that which is obtainable from independent search paths. These problems are important in the undersea domain, where limited communications and uncertain performance characterizations provide a challenge to conduct meaningful search operations in a reasonable amount of time. In this paper, we develop a modeling framework that accounts for the effects of collaborating searchers in a spatially variable undersea environment. The impact of this modeling framework on search plan generation and evaluation is then illustrated using simulation examples.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA527453

Entities

People

  • John G. Baylog
  • Thomas Wettergren

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Clearances
  • Data Fusion
  • Detection
  • Detectors
  • Equations
  • Optimization
  • Platforms
  • Probability
  • Random Variables
  • Sequences
  • Simulations
  • Teamwork
  • Test And Evaluation
  • Trajectories
  • Unmanned Vehicles
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy