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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.
1. | Pedestrian Attitude Estimation using a Multiplicative Extended Kalman Filter with Geometrically-Defined Innovation Covariance: Walter Livingston and David Bevly, Auburn University |
2. | 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 |
3. | 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 |
4. | 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 |
5. | 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 |
6. | Anomaly Detection for Trustworthy Personalized Pedestrian Dead Reckoning (PDR) Navigation: Hanyuan Fu, and Valerie Renaudin, AME-GEOLOC, University Gustave Eiffel |
7. | Advanced Step Detection with Anomaly Filtering for Enhanced Positioning Accuracy: Mohamad Issam Sayyaf, Ni Zhu, Valerie Renaudin, Gustave Eiffel University |
8. | 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