Monitoring and Information Fusion for Search and Rescue Operations in Large-Scale Disasters

Abstract

This report results from a contract tasking University of Roma as follows: The contractor will investigate artificial intelligence research methods for information fusion with application to search-and-rescue and large scale disaster relief. The objective is to develop and to deploy tools to support the monitoring activities in an intervention caused by a large-scale disaster. Particular focus will be on the software agents and the issues related to their development. The RoboCup-Rescue simulator will be used as the main development environment. Particular attention will be given to analyzing the information fusion problem which concerns the way information acquired by different sources are gathered together and organized in a coherent manner.

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Document Details

Document Type
Technical Report
Publication Date
Aug 02, 2002
Accession Number
ADA406575

Entities

People

  • Alessandro Farinelli
  • Daniele Nardi
  • Fabrizio D'agostino
  • Giorgio Grisetti
  • Luca Locchi

Organizations

  • Sapienza University of Rome

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Autonomous Systems
  • Contracts
  • Control Systems
  • Disasters
  • Emergencies
  • Geographic Information Systems
  • Information Systems
  • Robotics
  • Search And Rescue
  • Sensor Networks
  • Simulations
  • Simulators
  • Software Agents
  • Urban Areas
  • Wireless Sensor Networks

Readers

  • Emergency Management and Homeland Security.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML