Session D6: Navigation Using Environmental Features

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Date: Friday, September 20, 2024
Time: 1:45 p.m. - 4:50 p.m.
Location: Holiday Ballroom 4
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 18.

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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 all registered attendees.
1:50	Validating a Star Tracker Algorithm and Measuring Its Accuracy Through Suburban Night Sky Observations   Wen-Chiao Chen, National Cheng Kung University Student Paper Award Winner Peer Reviewed
2:12	Deep Space PNT Instrument (DESPINA) Sensor Design   Mel Nightingale, Dorcas Oseni, Kyle J. Houser, William Setterberg, Ragini Suttar, Lindsay Glesener, Demoz Gebre-Egziabher, University of Minnesota, Twin Cities; Marc Murbach, Malachi Mooney-Rivkin, Ames Research Center
2:35	Measuring Gravitational Acceleration Using X-Ray Pulsars for Deep Space Navigation Algorithm Initialization     Kyle J. Houser and Demoz Gebre-Egziabher, University of Minnesota Best Presentation
2:58	Navigation Augmentation for Landing on Vertipads Utilizing Optical Detection of Standard ICAO Circular Markings     Finn Hübner, Robert Haupt, Ulf Bestmann, Peter Hecker, TU Braunschweig
3:20	Magnetic Anomaly Navigation Using a Multi-vehicle Batch Processing Algorithm of Variable Map Fidelity Shawn Whitney, Aaron Nielsen, Frank van Graas, Air Force Institute of Technology
3:42	Accuracy of Magnetic Field-Based Train Localization and the Impact of Unknown Calibration Parameters   Benjamin Siebler, Stephan Sand, German Aerospace Center (DLR); Uwe D. Hanebeck, Karlsruhe Institute of Technology
4:04	Map Outage Recovery: ICP Tolerance to Initialization Errors for Automotive Radar   Emma Dawson, Paulo Ricardo Marques de Araujo, Queen’s University; Mohamed Elhabiby, Micro Engineering Tech Inc.; Aboelmagd Noureldin, Royal Military College of Canada and Queen’s University Peer Reviewed
4:26	Neural City Maps for GNSS Shadow Matching     Daniel Neamati, Mira Partha, Shubh Gupta, and Grace Gao, Stanford 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 all registered attendees.
1.	Robust 3D Map-Matching with Visual Environment Features for Neural City Maps     Mira Partha, Daniel Neamati, Shubh Gupta, and Grace Gao, Stanford University
2.	Extended LTE Based Fingerprinting Positioning for Emergency Applications by Utilizing Seq2seq Model with Beam-Search Inference     Sun Sim Chun, Jung Ho Lee, Ju-Il Jeon, Jin Ah Kang, Young-Su Cho, Electronics and Telecommunications Research Institute

On-Demand Presentation Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 18.

GMRC-Aided LiDAR/GNSS/INS: Ground Map Registration Constrained LiDAR-GNSS/INS Navigation Solution in Urban Canyons   Mengchi Ai, Dept. of Geomatics Engineering, University of Calgary; Mohamed Elhabiby, Micro Engineering Tech Inc.; Mehad Haggag, Ilyar Asl Sabbaghian Hokmabad, Dept. of Geomatics Engineering, University of Calgary; Mohamed Moussa, Micro Engineering Tech Inc.; Hongzhou Yang, Naser El-Sheimy, Dept. of Geomatics Engineering, University of Calgary

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