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2022 PNT Symposium • Student Presentation Videos

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The table below displays the student presentations from the 2022 PNT Symposium. The presentations are listed in alphabetical order of the presenter's last name.

While all of the student presentations were recorded, we have only received permission from some of the students to display their video presentation and/or a PDF file of their presentation slides.

For those presentations which we are permitted to display, click on the Play Video button preceding the presentation title to open an SCPNT Video Gallery page containing an unlisted (not searchable) YouTube video of that presentation.

Also, for those presentations for which we are permitted to display presentation slides, click on any presentation title in blue text to view/download the presentation PDF file.

2022 PNT Symposium — Day 1 Student Presentations

2022 PNT Symposium: October 12th — Student Presentations
Student SpeakerAffilationTitle of Presentation (Bold blue text = link to PDF presentation file)
Somrita BanerjeeStanford University

Adapting to Distribution Shifts in Satellite Pose Estimation

Wen-Chiao ChenNational Cheng Kung UniversityDeveloping a Star Tracker Algorithm for Small Satellites
Myles ClarkUniversity of Florida

Space-to-space time-transfer (CSAC clock recovery) and precision ranging via laser links for the NASA/MIT/UF CLICK CubeSat mission

Tim DittmannUniversity of ColoradoSupervised Machine Learning of High Rate GNSS Velocities for Earthquake Strong Motion Signals
Christopher FloodUniversity of Colorado

A Multi-Platform Clock Ensemble Testbed

Ben GattisUniversity of ColoradoBuilding a Network/Data Management for Low Cost GNSS Monitors
Anderson GivhanAuburn UniversityComparison of CRPA Direction of Arrival methods on Post Correlated GNSS signals for Solution Authentication/Spoofing Detection
Thomas GruberAuburn UniversityUnique Challenges and Opportunities of Vehicle Navigation in Autonomous Racing
Matt McDermottTufts University

3D formulation of the Iterative Closest Ellipsoidal Transform (ICET)

Adyasha MohantyStanford University

Learning GNSS Positioning Corrections for Smartphones using Graph Convolution Neural Networks

Daniel NeamatiStanford University

Set-Based Ambiguity Reduction in Shadow Matching with Iterative GNSS Pseudoranges

Yunhan QiTsinghua University

Unlocking the Ultra-high-precision Processing Mode of BDS-3 B1 Signals

Todd Walter, & Sherman LoStanford University

Day 1 Welcome, Overview & Logistics