Session D3: Space Navigation and Observation


Date: Wednesday, April 26, 2023
Time: 8:30 a.m. - 12:15 p.m.

Session Chairs:
Dr. Renato Zanetti
University of Texas at Austin
Dr. David Curtis
Air Force Institute of Technology

Automatic Detection of Radio Frequency Interference in GNSS-R Data Using A Machine Learning Algorithm: Kahn-Bao Wu and Y. Jade Morton, University of Colorado Boulder
Characterization and Modelling of Inter Constellation Bias between IRNSS & GPS and Methods for Performance Improvement in Positioning: V.S. Vinoj, C. Radhakrishna Pillai, Anand Shankar OT; A. Mohammed Basim, V.S. Biju, Aneesh K. Thampi, S. Sasikumar, Sam Dayala, D. Dev, ISRO Inertial Systems Unit
Future GNSS SSV for the Moon and Beyond: S. Corvo, F. Paggi, and E. E. Zini, Thales Alenia Space Italy
LiDAR-Based Autonomous Landing on Asteroids: Algorithms, Prototyping and End-to-end Testing with a UAV-Based Satellite Emulator: Max Hofacker, Harvey Gómez Martínez, Martin Seidl, Universität der Bundeswehr München; Fran Domazetovic, Department of Geography, University of Zadar; Larissa Balestrero Machado, Roger Förstner, Thomas Pany, Universität der Bundeswehr München
Machine Learning for Monocular-Vision based Spacecraft Pose Estimation: Quang Tran, Clark Taylor, Scott Nykl, Air Force Institute of Technology
Overcoming Inverse-square Law of Gravitation and Luminosity for Interstellar Hyperspace Navigation by Celestial Objects: Nghi C. Nguyen, Hsss Science
Pulsar-Leveraged Autonomous Navigation Testbed System (PLANTS): A Low-Cost Software-Hardware Hybrid Testbed for Pulsar-based Autonomous Navigation (XNAV) Positioning, Navigation, and Timing (PNT) Solutions.: Sarah Hasnain, Michael Berkson, Sharon Maguire, Evan Sun, Katie Zaback, The Johns Hopkins University Applied Physics Laboratory
Relative Navigation Methods for a Multi-Agent Inspection Mission: Mark Mercier and David Curtis, Air Force Institute of Technology
Satellite Guidance with Multi-Agent Reinforce Learning for Triangulating a Moving Object in a Relative Orbit Frame: Nicholas Yielding, USAF, Air Force Institute of Technology; Joseph Curro, USAF, Defense Threat Reduction Agency
Surface Initialization for Planetary Landers: Ben Schilling, Ryan Watson, Tim McGee, Ryan Mitch, John Hopkins University Applied Physics

12:15 p.m. – 1:15 p.m. Lunch in the Exhibit Hall