Session A1: Cutting-Edge Inertial-Based Pedestrian Localization

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Date: Tuesday, April 29, 2025
Time: 8:30 a.m. - 12:15 p.m.
Location: Grand Ballroom ABC

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Presentations
8:35	Pedestrian Attitude Estimation using a Multiplicative Extended Kalman Filter with Geometrically-Defined Innovation Covariance     Walter B. Livingston and David M. Bevly, Auburn University
8:57	Constrained Factor Graph Optimization for Robust Networked Pedestrian Inertial Navigation     Yingjie Hu, University of Minnesota, Twin Cities; Wang Hu, University of California, Riverside
9:20	On Neural Inertial Classification Networks for Pedestrian Activity Recognition   Zeev Yampolsky, Ofir Kruzel, Victoria Khalfin Fekson, and Itzik Klein, The Autonomous Navigation and Sensor Fusion Lab (ANSFL) University of Haifa
9:43	PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams     Peter Bauer, Andreas Porada, Felix Ott, Christopher Mutschler, Fraunhofer Institute for Integrated Circuits; Tobias Feigl, Fraunhofer Institute for Integrated Circuits & Friedrich- Alexander-Universität Erlangen-Nürnberg
10:05-10:35, Break. Refreshments in Exhibit Hall
10:40	Anticipating Pedestrian Movements: Future Activity Prediction for Floor-Change Scenarios     Pavel Pascacio, Geoloc lab, Université Gustave Eiffel; Thomas Bonis, LAMA, Université Gustave Eiffel; Valérie Renaudin, Geoloc lab, Université Gustave Eiffel
11:03	Anomaly Detection for Trustworthy Personalized Pedestrian Dead Reckoning (PDR) Navigation     Hanyuan Fu and Valerie Renaudin, AME-GEOLOC, University Gustave Eiffel
11:26	Anomaly Filtering for Pedestrian Dead Reckoning Using Segment-Based Autoencoders     Mohamad Issam Sayyaf, Ni Zhu, and Valerie Renaudin, Gustave Eiffel University
11:48	NEVERLOST: Navigation Environment Merging Virtuality, Ecotone, and Reality for Localization Of SubjecTs   Eudald Sangenis and Andrei M. Shkel, MicroSystems Laboratory, University of California, Irvine

12:15 p.m. – 1:15 p.m. Lunch in the Exhibit Hall

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