Intelligent Terrain Analysis and Tactical Support System (ITATSS) for Unmanned Ground Vehicles

Abstract

The objective of this work is to design a dynamic intelligent terrain analysis and tactical support system (ITATSS). The system enable unmanned combat and support vehicles to achieve significant new levels of autonomy, mobility, rapid response, coordination and effectiveness, while simultaneously enriching human-robot interaction, expanding tactical capabilities, and reducing human workload. ITATSS integrates work in intelligent agent architectures for decision support, low-level feature processing for analyzing terrain and situational features, and robot sensorimotor interfaces. There are currently mature existing tools that handle these capabilities separately, but ITATSS will integrate them into a single architecture. One advantage of such an integrated architecture is that it will help make all of the digital aids familiar and useful to human operators. This report provides a document to guide the design, development, and evaluation of ITATSS. This should serve as a solid design document for any future efforts to build applications in this area. As part of the design, we have identified a large number of requirements on system components, and any system designed for this application area should meet these requirements.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2005
Accession Number
ADA434526

Entities

People

  • Nahid Sidki
  • Randolph M. Jones
  • Ron Arkin

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Systems
  • Cognitive Science
  • Collision Avoidance
  • Computer Programming
  • Computers
  • Detectors
  • Human Supervisory Control
  • Human-Machine Interfaces
  • Human-Robot Interaction
  • Intelligent Agents
  • Psychology
  • Robots
  • Software Development
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • User Interface

Fields of Study

  • Computer science
  • Engineering

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs