ATR-MCAS

Abstract

Combat Formations require the ability to autonomously maneuver to identify threats and enable friendly forces to disintegrate and exploit enemy forces in the close and deep maneuver areas. This effort researches AI-based, multi-system approaches to aided threat recognition (ATR) using a combination of autonomous air and ground sensors to build a more accurate operating picture when given zone recon missions. ATR and situational awareness is improved through the direct cooperation and autonomous mobility of the sensors.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2025
Source ID
3506c0190e9fd69b951257b1e38fb639

Tags

Readers

  • Computer Vision.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Military Science

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