Session C1: AI-Driven Positioning and Navigation

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Date: Wednesday, September 10, 2025
Time: 8:30 a.m. - 12:15 p.m.
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 10.

In-Person Presentations These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
8:35	HiFi-Loc: Learning Hierarchical Spatial Features for Implicit Fingerprinting Under Map Dilemma Mengyun Liu, School of Artificial Intelligence, Guangzhou University
8:57	Comparative Analysis of Starlink LEO Orbit Prediction with Open-Loop versus Closed-Loop Trained Machine Learning Zak (Zaher) M. Kassas, Paul El Kouba, Samer Hayek, and Joe Saroufim; The Ohio State University
9:20	Implementation of Machine Learning-Based NLOS Detection in PocketSDR Ellarizza Fredeluces and Nobuaki Kubo, Tokyo University of Marine Science and Technology
9:43	Parallel Deep Quantile Estimation with Gaussian Overbounding for GNSS Multipath Modeling Florian Roessl and Omar Garcia Crespillo, German Aerospace Center, DLR
10:05-10:35, Break. Refreshments in Exhibit Hall
10:40	Language-Driven Semantic Change Detection in Urban Maps via Multi-Modal Deep Learning Huaze Liu, Zihao Gao, and Adyasha Mohanty, Harvey Mudd College
11:03	AI-assisted Multi-Sensor Fusion for Enhanced Autonomous Vehicle Navigation Jorge Morán García, Philipp Bohlig, Robert Bensch, Luka Sachsse, Sai Parimi, Frieder Schmid, Julian Dey, Patrick Henkel, ANavS GmbH
11:26	Enhancing Exynos Positioning Performance using Machine Learning Techniques Ali Jafarnia Jahromi, Vincenzo Capuano, Nolan Lodden, Sundar Raman, Changwei Chen, Radhika Ravi, Andrew Lee, Sukhwan Lim, and Bhaskar Nallapureddy, Samsung Semiconductor Inc.
11:48	Unmasking GNSS Attacks Through Machine Learning: Advanced Jamming and Spoofing Detection in GMV GSharp® J.C. López, A. Chamorro, M. Crespo, A. Tena, M.A. Azanza, A. Gonzalez, J.D. Calle, I. Rodriguez, GMV
Alternate Presentations Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
1.	Aleatoric Uncertainty Reduction in Multi-sensor Navigation System using Gated Recurrent Unit Tarafder Elmi Tabassum, Sorin Andrei Negru, and Ivan Petrunin, Cranfield University
2.	Design and Performance Analysis of a Real-Time Positioning Server Based on a Multi-MNO Cell Information Generation Model Juil Jeon, Jin Ah Kaing, Jung Ho Lee, and Youngsu Cho, Electronics and Telecommunications Research Institute
3.	A Comparison of ML-Based and Classical Methods for GNSS Satellite Maneuver Detection Jorge Moreno, Esther Teso, Ismael Jiménez, Daciana Bochis, and Adrián García, GMV
4.	Leveraging RAG-LLM in 3DMA GNSS for Reducing Learning Barriers: Feasibility Analysis and Preliminary Results Liang Qian, Penghui Xu, Hoi-Fung Ng, and Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University

On-Demand Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 10.
	A Cross-Scenario GNSS Spoofing Detection Method Based on Transfer Learning Jun Xu, Liangyu Qin, Chao Sun, Lu Bai, Shuai Zhang, Wenquan Feng, Lei Xu, Beihang University
	GNSS Interference Suppression Method Based on Deep Neural Network Lixin Zhang, Qiongqiong Jia, and Renbiao Wu, Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China
	PINK-GINS: A Hybrid Physics-Informed Neural Network and Kalman Filter Framework for GNSS/INS Tightly Coupled Integration Jianan Lou, Department of Precision Instrument, Tsinghua University; Rong Zhang, State Key Laboratory of Precision Space-time Information Sensing Technology, Tsinghua University
	Title: An Enhanced LSTM-Piecewise Model for Predicting Ionospheric Scintillation Muhammad Usama, Kai Guo, Zhipeng Wang, Jifeng Guo, National Key Laboratory of CNS-ATM, School of Electronic and Information Engineering, Beihang University

12:15 p.m. – 1:15 p.m., Buffet Lunch in Exhibit Hall • 1:15 p.m. – 1:45 p.m., Free Time in Exhibit Hall

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