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.
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 13.

Session Chairs

Dr. Weisong Wen
The Hong Kong Polytechnic University


Dr. Ryan Watson
The Johns Hopkins University APL

 
Track Chair

Dr. Li-Ta Hsu
Google

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
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 GRU/LSTM-CNN/Bayesian-LSTM based Fusion Architecture for Multi-Sensor GNSS/INS/Monocular Deployment in Urban Canyons with Integrity : 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, Jeonghyeon Yun, Evan Gattis, Dennis Akos, Byungwoon Park, University of Colorado
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

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