CAT/RF Simulation Lessons Learned

Abstract

The Vetronics Technology Area of The U.S. Army Tank-Automotive Research Development and Engineering Center (TARDEC) and DCS Corporation developed a reconfigurable Unmanned Ground Vehicle (UGV) simulation for the Crew integration and Automation Test bed (CAT) and Robotics Follower (RF) Advanced Technology Demonstration (ATD) experiments. This simulation was developed as a component of the Embedded Simulation System (ESS) of the CAT architecture. The CAT/RF was chosen by the Future Combat System's (FCS) Lead Systems Integrator (LSI) as a surrogate to show the functionality of the Control Vehicle (CV)/Armed Reconnaissance Vehicle (ARV) concept demonstrated in the Unmanned Combat Demonstration (UCD) experiments. The UCD design handled any combination of Javelin-like missile system, Objective Crew Served Weapon (OCSW), and Reconnaissance, Surveillance, and Target Acquisition (RSTA) sensors on the ARVs. The ESS development team faced numerous challenges in simulating multiple vehicles with varying sensor and weapons payloads, controlled by multiple operators. Despite an accelerated schedule, the ESS team was able to support the UCD and ATD experiments conducted between December 2002 and April 2003.

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Document Details

Document Type
Technical Report
Publication Date
Jun 11, 2003
Accession Number
ADA583070

Entities

People

  • Christopher Mocnik
  • Tim Lee

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Armored Personnel Carriers
  • Armored Vehicles
  • Automated Target Recognition
  • Battlefields
  • Computer Programming
  • Computer Programs
  • Databases
  • Detectors
  • Engineering
  • Lessons Learned
  • Mobility
  • Reliability
  • Simulations
  • Software Development
  • Target Recognition
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Readers

  • Software Engineering
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy