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.

Session Chairs:
Dylan Bowald
AFRL/RYWN
Clarizza Morales
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, Jeffrey Onners, Roger Sengphanith, 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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