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AFRL Taps BAE Systems to Develop Software for Automatic Target Recognition

AFRL Taps BAE Systems to Develop Software for Automatic Target Recognition - top government contractors - best government contracting event

BAE Systems’ research and development arm will help the Air Force Research Laboratory enable autonomous technologies to automatically recognize targets using machine learning.

Work between BAE’s FAST Labs and ARFL is focused on ML software development in support of the Multi-Sensor Exploitation for Tactical Autonomy program, the company said Thursday.

To support automatic target recognition, a suite of ML and fusion algorithms called Environmentally Adaptive Geospatial Learning and Exploitation will be provided under BAE’s $7.8 million contract from the Air Force lab. The system is meant to enable mobile target detection, tracking and identification. It also has an intent understanding capability.

“Providing local situational awareness and human-like context of environmental conditions will greatly reduce false alarms,” said Mark Kolba, program manager for FAST Labs.

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Written by Christine Thropp

oversees day-to-day content production for ExecutiveBiz, a publication under Executive Mosaic's media group covering government contracting industry news. She also writes about executive movements and commentaries, M&A activities, contract awards and technology and service offerings of medium-sized businesses and other GovCon companies. Prior to assuming her current responsibilities with EBiz, Thropp produced daily competitive intelligence briefings for the company's GovCon customers.

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