Session C6: Terrestrial Signals of Opportunity-Based Navigation Systems

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Date: Thursday, May 1, 2025
Time: 1:45 p.m. - 4:50 p.m.

Session Chairs:

Dr. Kimia Shamaei Apple	Dr. Jiwon Seo Yonsei University

Abstracts in this session are listed alphabetically. Following peer review of the full manuscripts, each abstract will be designated as a primary or as an alternate presentation.

	5G Direct Position Estimation for Precise Localization in Dense Urban Area: Sijia Li, Sergio Vicenzo, and Bing Xu, The Hong Kong Polytechnic University
	5G-Based High Precision Real-Time Location System: Eapen Kuruvilla, Anand Seshadri, Ryan Plyler, Muhammad Hussain, Denise Masi, and Mohammed Zaatari, Noblis, Inc.
	A Joint TOA and DOA Approach for Opportunistic Navigation with Beamformed 5G Signals: Shaghayegh Shahcheraghi and Zak (Zaher) M. Kassas, The Ohio State University
	An Empirical Assessment of Indoor-Outdoor Localization Based on Signals of Opportunity from Multiple Systems: Albrecht Michler, Paul Schwarzbach, Jonas Ninnemann, Muhammad Ammad, Hagen Ußler, Oliver Michler, TUD Dresden University of Technology
	Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization: Ossi Kaltiokallio, Unit of Electrical Engineering, Tampere University; Roland Hostettler, Department of Electrical Engineering, Uppsala University; Jukka Talvitie, and Mikko Valkama, Unit of Electrical Engineering, Tampere University
	Indoor Localization Based on Machine Learning-Assisted PDR and Signals of Opportunity From Ambient Generic BLE Devices: Masakatsu Kourogi, Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, and Takashi Okuma, AIST
	Low-SWaP GNSS-Denied Navigation Using LTE Signals of Opportunity with B-Spline Trajectory Estimation: Tyler Sweat, Michael Rice, Willie K. Harrison, and Randal W. Beard, Brigham Young University
	Maximum Likelihood Time-Delay Estimation in Multipath Channels with two- and Three-Paths Models Using OFDM: Lucas Alvarez Navarro, Christian C. J. M. Tiberius, Department of Geoscience and Remote Sensing, Delft University of Technology; Gerard J. M. Janssen, Department of Microelectronics, Delft University of Technology
	Privacy-Preserving Proximity-Based Positioning with Robustness: Guillermo Hernandez, Shuo Tang, and Pau Closas. Electrical, and Computer Engineering Dept., Northeastern University
	Radio Propagation Learning: Predicting Reflection Points from Radio Attenuation Maps: Martin Schmidhammer, Benjamin Siebler (German Aerospace Center (DRL), Institute of Communications and Navigation, Ulrich Hillenbrand, DLR, Institute of Robotics and Mechatronics

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