Automatic Target Recognition (ATR) Technology

Abstract

Automatic Target Recognition (ATR) systems provide the capability to detect, identify, and track high value targets from collected sensor data. Current ATRs are typically designed for specific sensors and provide only limited, static mission support due to pre-programmed target lists and operating modes. Extending ATR technology to accommodate sensor upgrades or include new emerging targets can be costly and time-consuming. The objective of the ATR Technology program is to develop technologies that reduce operational limitations while also providing significant performance improvements, dramatically reduced development times, and reduced life-cycle maintenance costs. Recent breakthroughs in deep learning algorithms and embedded computing systems offer promise for dramatic improvements in ATR utility. The program will focus on three core areas: (1) development of on-line adaptive algorithms that enable performance-driven sensing and ATR utility; (2) algorithm training technology that enables rapid incorporation of new targets; and (3) technologies that dramatically reduce required data rates, processing times, and the overall hardware and software demands of ATR systems. ATR technology developed under the program is planned for transition to the Services.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2020
Source ID
fc63e531f733a9882eaa4bec79168554

Tags

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Life Cycle Cost Analysis
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

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