Session E3a: All-Source Intelligent PNT Methods

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Date: Thursday, September 14, 2023
Time: 8:30 a.m. - 10:05 a.m.
Location: Capitol Ballroom 1-3 (Fourth Floor)
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 13.

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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 virtual attendees.
8:35	Improvements to GNSS Positioning in Challenging Environments by 3DMA Lidar Informed Selective Satellites Usage     Russell Gilabert, Julian Gutierrez, Evan Dill, NASA Langley Research Center Best Presentation
8:57	Seamless Navigation for Indoor-Outdoor Positioning Using GNSS-Aided UWB/WiFi/IMU System     Akpojoto Siemuri, Mahmoud Elsanhoury, Kannan Selvan, Petri Välisuo, Heidi Kuusniemi, Mohammed S. Elmusrati, University of Vaasa
9:20	A Hybrid Deep Learning Approach for Robust Multi-Sensor GNSS/INS/VO Fusion in Urban Canyons     Patrick Geragersian, School of Aerospace, Transport and Manufacturing (SATM), Cranfield University; Ivan Petrunin, Weisi Guo, Centre for Autonomous and Cyberphysical Systems, Cranfield University; Raphael Grech, Technical Strategist in Emerging Technologies, Spirent Communications PLC
9:43	Defining an Integrity Metric for Diverse, Multi-Sensor PNT Devices John Fischer, Safran Navigation and Timing
10:05-10:35, Break. Refreshments in Exhibit Hall
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 virtual attendees.
1.	Android GNSS/INS Using Complementary Filter     Dong-Kyeong Lee, Evan Gattis, Dennis Akos University of Colorado Boulder; Jeonghyeon Yun, Byungwoon Park, Sejong University Peer Reviewed
2.	Exploring the Benefits of Deep Learning-Based Sensors Error Estimation for Improved Attitude and Position Accuracy     Eslam Mounier, Queen's University, and Ain Shams University; Paulo Ricardo Marques de Araujo, Queen's University; Mohamed Elhabiby, Micro Engineering Tech Inc.; Michael Korenberg, Queen's University; Aboelmagd Noureldin, Royal Military College, and Queen's University Peer Reviewed

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