Session D6: Robust Navigation Using Alternative Navigation Sensors and Solutions

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Date: Friday, September 15, 2023
Time: 1:45 p.m. - 4:50 p.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.
1:50	Exploring the Potential of Low Earth Orbit Satellites for Precise Navigation and Timing Solutions Guillermo García, Nuria Pérez, Jorge Durán, Damián Socías, Enrique Carbonell, Ana González, Guillermo Tobías, Irma Rodriguez, Pedro Navarro, Francisco Sobrero, Adrián García and David Calle, GMV
2:12	Analysis of Concepts for Ultra Low Power Device Positioning Based on LEO Satellites     Luis Enrique Aguado Bayon, Matthew Powe, Baris Toz, Katie Roll, Alejandro Pérez Conesa, GMV
2:35	Concept and Benefits of a Technology-Agnostic Dynamic Alert Limit Framework for a VTOL Autoland System     Finn Hübner, Mario Gäbel, Lukas Scholz, Ulf Bestmann, Institute of Flight Guidance, Technische Universität Braunschweig Peer Reviewed
2:58	3D LiDAR Aided GNSS NLOS Correction with Direction of Arrival Estimation Using Doppler Measurements   Xikun Liu, Weisong Wen, Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, the Hong Kong Polytechnic University
3:20	GNSS Satellite Fault Detection and Exclusion for Integrated GNSS/INS Systems     Birendra Kujur, Samer Khanafseh, and Boris Pervan, Illinois Institute of Technology
3:42	Hybridization of Smartphone GNSS PPP/RTK with Native IMU in Realistic Driving Scenarios     Ding Yi and Sihan Yang, Department of Earth and Space Science and Engineering, York University Student Paper Award Winner Peer Reviewed
4:04	Integrity Assurance of LIRTK using SS-RAIM against sensor faults for UAV applications     Noah Minchan Kim, Dongchan Min and Jiyun Lee, Korea Advanced Institute of Science and Technology Peer Reviewed Best Presentation
4:26	GVIM: GNSS/Visual/IMU/Map Integration Via Sliding Window Factor Graph Optimization in Urban Canyons     Bai Xiwei, Li-Ta Hsu, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University Peer Reviewed
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.	Relieve Gaussian Assumptions: A Bayesian Approach to Detect Faults in Localization Systems Based on Gaussian Mixture Model Penggao Yan, Li-Ta Hsu, Weisong Wen, Feng Huang, and Jiachen Zhang, Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong
2.	Improving Accuracy and Algorithm Integrity for Train Localization in Harsh Urban Environments Using GNSS Time-Difference Carrier-Phase Displacement and GNSS Map-Modulation with Inertial Navigation Over Hundreds of Hours of Real-Life Data     Pierre d’Harcourt, Laurent Poletti, Jean-Baptiste Lacambre, Sophie Glevarec, Tim Barford, Exail
3.	Integrity Monitoring Of GNSS With LEO Satellites To Reduce the Time To Alarm     Carlos Catalán, Luis García, Andrés Juez, Eduardo Fernández, César Pisonero, Adrián Monreal, Mar Paüls, Eric Arnal, María D. Laínez, Jon Bruno, José Caro, GMV

Virtual Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 13.
	Improving LEO Satellite Onboard SPP Orbits with Dynamic Models     Hang Su, National Time Service Center (NTSC), Chinese Academy of Sciences (CAS); Kan Wang, NTSC,CAS, University of Chinese Academy of Sciences (UCAS); Xuhai Yang, NTSC, CAS, UCAS Peer Reviewed
	Integer Ambiguity Resolution in Multi-Constellation GNSS for LEO Satellite POD     Kan Wang, National Time Service Center (NTSC), Chinese Academy of Sciences (CAS), University of Chinese Academy of Sciences (UCAS); Ahmed El-Mowafy, School of Earth and Planetary Sciences, Curtin University; Xuhai Yang, NTSC, CAS, UCAS Peer Reviewed

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