Session D7: AI/Machine Learning for PNT

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Date: Tuesday, June 4, 2024
Time: 4:00 p.m. - 5:30 p.m.
Location: Ballroom D

Session Chairs:

Dylan Bowald AFRL/RYWN	Luis Hernandez COSMIAC, University of New Mexico

4:05 p.m.	Encoding-Informed Perturbative Generative Adversarial Network for GNSS Interference Detection: Jakob Wachter and Yoonkee Kim, US Army C5ISR Center
4:25 p.m.	Towards Real-Time Mapping and Navigation with Neural Radiance Fields: Carlos R. Cruz, Evelyn A. Stump, Andrew Raij, Draper
4:45 p.m.	Machine Learning Aided GPS-Denied Navigation Using Uncertainty Estimation through Deep Neural Networks: Han-Pang Chiu, Angel Daruna, Yunye Gong, Abhinav Rajvanshi, Zhiwei Zhu, Yi Yao, Supun Samarasekera, Rakesh Kumar, SRI International
5:05 p.m.	Utilizing Asymmetric Aircraft Features for Highly Occluded Position and Orientation Estimation: Jeffrey Choate and Scott Nykl, Air Force Institute of Technology
Alternates
1.	GNSS-Denied Pedestrian Navigation Using Machine Learning Aided Gait Recognition: Minhdao Nguyen, Roger Sengphanith, and Jeffrey Onners, Naval Information Warfare Center (NIWC) Pacific)
2.	Artificial Intelligence and Machine Learning for Inertial Measurement Unit Noise Estimation and Denoising: Andrew Isaacson and Garrett Payne, Safran Federal Systems

5:30 p.m. – 7:00 p.m., Exhibit Hall Evening Hours and Cash Bar (Exhibit Hall, First Floor)

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