Air Force researchers eye artificial intelligence (AI) and machine learning for advanced target tracking

Nov. 14, 2024
Project seeks to help first responders find people in disaster areas based on last known location from their cell phones and other personal devices.

ROME, N.Y. – U.S. Air Force researchers are approaching industry for next-generation target tracking that capitalizes on many data sources, artificial intelligence (AI), machine learning, machine inferencing, and high performance computing (HPC).

Officials of the Air Force Research Laboratory Information Directorate in Rome, N.Y., have issued an advanced research announcement (FA8750-24-S-7004) for the Advanced Tracking Architecture Using AI (ATA-AI) project.

From industry, the Air Force wants white papers that describe new algorithms and applications for 3D pixel, vector, and point cloud processing and accelerations; and ways to use AI and machine learning to identify, classify, and pattern-learn signals from several sources such as signals intelligence and imagery geo intelligence.

Signals of interest

The ATA-AI project for advanced target tracking also seeks new ways of processing geographical positioning system (GPS), non-GPS, inertial navigation system (INS), radio frequency identification (RFID) trackers, or telematic-based data to uncover traffic tracks that can measure lines of communication.

Related: Air Force asks industry for artificial intelligence (AI) high-performance computing for target tracking

In addition, the project seeks to fine ways of processing intercepted cell phone signals into graphic displays to help first responders identify people in disaster areas based on last known location from their personal devices.

This project is open until 12 July 2029. Researchers ask companies to submit white papers no later than 30 Nov. 2024 for 2025 awards; by 30 Nov 2025 for 2026 awards; by 30 Nov 2026 for 2027 awards; by 20 Nov. 2027 for 2028 awards; and by 30 Nov 2028 for 2029 awards.

$99 million program

Total funding for the project is about $99 million, and awards generally will be for four years, and be worth between $1 million and $10 million. Companies submitting promising white papers may be invited to submit full proposals.

Related: Blending different sensors, machine learning, and artificial intelligence (AI) is aim of DARPA research

Companies interested should email white papers to the Air Force's Carolyn Sheaf at [email protected], and Peter Rocci at [email protected].

Email questions or concerns to Carolyn Sheaf at [email protected], and Peter Rocci at [email protected].

Email business questions to the Air Force's Amber Buckley at [email protected]. More information is online at https://sam.gov/opp/5bfd9e738b2444ac86266c4f8d8df530/view.

About the Author

John Keller | Editor-in-Chief

John Keller is the Editor-in-Chief, Military & Aerospace Electronics Magazine--provides extensive coverage and analysis of enabling electronics and optoelectronic technologies in military, space and commercial aviation applications. John has been a member of the Military & Aerospace Electronics staff since 1989 and chief editor since 1995.

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