Session F11: AI/Machine Learning (ML) for PNT: Navigation Focus

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Date: Wednesday, June 3, 2026
Time: 1:45 p.m. - 3:15 p.m.
Location: Ballroom E

Session Chairs:

Kevin Schaal Army DEVCOM AC	Dr. Tommy Willis Office of Naval Research

1:50 p.m.	AI/ML for Enhanced MEMS IMU Performance: Zach Fisher, Vegnesh Jayaraman, Shashank Shivkumar, Artie Dins, Andrew Stewart, Honeywell Aerospace
2:10 p.m.	Toward Real-Time Operation of AI-based Inertial Measurement Unit-based Odometry Solution for Localization of Small Uncrewed Aircraft Systems: Jamie Roberson, Ben Noel, Howard Chen, Maria Voss, John David Sprunger, Nicholas Bannister, The University of Alabama in Huntsville; Becky Oh, George Hsu, PNI Sensor
2:30 p.m.	Low Altitude Vision Aiding (LAVA) Navigation for Aircraft Using A Forward LWIR Camera: Adrian Mai, Steven Gambino, Christopher Rose, Kyung-Min Su, Grant Apperson, and Kevin Betts, Leidos, Inc.; Hal Bowers, Jackson Farris, Brian Baeder, and Virginia Overstreet, Zeus Research and Technology
2:50 p.m.	Feature Analysis of YOLO and Factor Graph Integration for Robust Pose Estimation in Automated Aerial Refueling: Mia Prasinos, Christopher 'Jarvis' Fulton, Aybar Avci, and Scott Nykl, Air Force Institute of Technology
Alternates
1.	Multi-Camera Sensor Fusion for Minimizing Depth Errors: Aaron DeLuca, Mia Prasinos, Christopher Fulton, Jonathon Accurso, Scott Nykl, Air Force Institute of Technology
2.	Neural Network-Based Process Improvements for Navigation Subsystem Testing within Weapon Stockpile Reliability Programs: Patrick Renfroe & Jonathan Martinez-Pacheco, U.S. Army DEVCOM AvMC; Jared Seal & Neil Osterc, NTA, Inc.

3:15 p.m. – 4:00 p.m. Break in Exhibit Hall (First Floor), Sponsored by Inside GNSS

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