Session A1: Cutting-Edge Inertial-Based Pedestrian Localization

RETURN TO SESSION LIST

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

Session Chairs:

Dr. Valérie Renaudin Gustave Eiffel University	Sally-Ann Keyes Honeywell Aerospace

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.

	A Constrained Factor Graph Optimization-Based Networked Inertial Navigation System For Pedestrian Navigation: Yingjie Hu, University of Minnesota, Twin Cities; Wang Hu, University of California, Riverside; Demoz Gebre-Egziabher, University of Minnesota, Twin Cities
	Advanced Step Detection with Anomaly Filtering for Enhanced Positioning Accuracy: Mohamad Issam Sayyaf, Ni Zhu, Valerie Renaudin, Gustave Eiffel University; Tobias Feigl, Fraunhofer Institute for Integrated Circuits (IIS)
	An Input Anomaly Detection Mechanism for Continual Learning of Personalized PDR Models: Hanyuan Fu, and Valerie Renaudin, AME-GEOLOC, University Gustave Eiffel
	Anticipating Pedestrian Movements: Future Activity Prediction for Floor-Change Scenarios: Pavel Pascacio, Tommy Moisan, Geoloc lab, Université Gustave Eiffel; Thomas Bonis, LAMA, Université Gustave Eiffel; Valérie Renaudin, Geoloc lab, Université Gustave Eiffel
	Challenges of Trajectory Estimation Using Inertial Sensors in Smartwatches: Jae Hong Lee, Jae Wook Park, Junu Park, Sohee Park, and Chan Gook Park, Seoul National University
	Indirect Kalman Filter to Improve Zero-Velocity Detectors for Foot-Mounted Inertial Navigation System Over Long Trajectories: Samir Zemam, Wissem Jallouli, Mohamed Malek Mokaddem, Bilal Alchalabi, and René Jr. Landry, École de Technologie Supérieure (ÉTS)
	NEVERLOST: Navigation Environment merging Virtuality, Ecotone, and Reality for Localization Of SubjecTs: Eudald Sangenis and Andrei M. Shkel MicroSystems Laboratory, University of California, Irvine
	On Neural Inertial Classification Networks for Pedestrian Activity Recognition: Victoria Khalfin Fekson, Nadav Cohen, Itzik Klein, The Autonomous Navigation and Sensor Fusion Lab (ANSFL) University of Haifa
	PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams: Peter Bauer, Andreas Porada, Felix Ott, Fraunhofer Institute for Integrated Circuits (IIS); Tobias Feigl, Fraunhofer IIS & Friedrich- Alexander-Universität (FAU)
	Pedestrian Attitude Estimation using a Multiplicative Extended Kalman Filter with Geometrically-Defined Innovation Covariance: Walter Livingston and David Bevly, Auburn University
	Performance Evaluation of 3D Precise AHRS Algorithms in Pedestrian Applications: Samir Zemam and René Jr. Landry, École de Technologie Supérieure (ÉTS)

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

RETURN TO SESSION LIST