Coordinated Inland Area Search and Rescue (SAR) Planning and Execution Tool.

Abstract

This thesis designs and implements the Coordinated Inland Area Search and Rescue (SAR) System (COINSS). This n provides several important features not provided by current inland SAR computer systems. First is the ability to model movement of the target. Second is modeling the effect terrain has on the movement of the target. Third is the visual presentation of a probability map, a color display showing the probability that the target is located at various geographic positions. COINSS is developed in the Java programming language. It is designed to be implemented with a map-based planning system using loosely coupled components. COINSS provides the initialization, movement, and search algorithms which are used by the planning system to support the search operation. The initialization algorithms define the search area where the SAR operation will occur. Initial areas are defined for the target. COINSS models the movement of the target as a discrete time Markov chain. Bayes theorem is used to update the probability map when negative search information is provided. This thesis will improve inland SAR operations by providing the first model with an interactive graphical user interface and a model of target movement.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA355989

Entities

People

  • Timothy S. Castle

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Bayes Theorem
  • Computer Programming
  • Computer Programs
  • Computers
  • Graphical User Interface
  • Java Programming Language
  • Markov Chains
  • Probability
  • Probability Distributions
  • Programming Languages
  • Random Variables
  • Search And Rescue
  • Shell Scripts
  • User Interface
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Database Systems and Applications
  • Sensor Fusion and Tracking Systems.