Session C4: Navigation Using Environmental Features

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Date: Wednesday, April 30, 2025
Time: 1:45 p.m. - 5:30 p.m.

Session Chairs:

Tucker Haydon Sandia National Labs	Benjamin Siebler German Aerospace Center (DLR)

Abstracts in this session are listed alphabetically. Following peer review of the full manuscripts, each abstract will be designated as a primary or as an alternate presentation.

	A Case Study of Large Vision Language Models for Improving GNSS Positioning Accuracy: Adyasha Mohanty and Huaze (Patrick) Liu, Harvey Mudd College
	A Deep Water Bathymetric Particle Filter for Position Estimation in GNSS-Denied Environments: James Brodovsky, Penn State ARL, Temple University; Keith Sevcik, and Nicholas Saluzzi, Penn State ARL
	Analysis of Magnetic Anomaly Maps and Navigation Performance Using Flight Test Data: Brandon Blakely and Aaron Nielsen, AFIT/ANT Center
	Context-Adaptive GNSS and GNSS/INS Estimation Strategies Based on Prior Statistical Multipath Knowledge: Maximilian Von Arnim, Damien Vivet, and Yoko Watanabe, Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse
	Deep Learning-Driven Autonomous Navigation: Combining Local Obstacle Detection and Global Map-Based Pathfinding: Sachin Lodhi and Jidong Huang, California State University, Fullerton
	Enhancing Map-Based Navigation: Defining System Architecture with Batch-Processed Likelihood Fields for Magnetic Navigation: Shawn Whitney, Aaron Nielsen, Frank van Graas, USAF - AFIT
	Improving Celestial AltPNT Availability and Performance: Full Sky Polarization Tracking Algorithms for Challenging Conditions: Laura Eshelman and Adam Smith, Polaris Sensor Technologies, Inc.
	Infrastructure Planning for Multi-Vehicle Routing with Cooperative Localization: Rohith Boyinine, Aerospace Engineering and Engineering Mechanics, University of Cincinnati; Anusna Chakraborty, R&D Scientist, Utopia Compression Corp.; Rajnikant Sharma, ANT Center, Air Force Institute of Technology, WPAFB; Abhinav Sinha, Aerospace Engineering and Engineering Mechanics, University of Cincinnati
	Miniature Quantum Magnetometers for Magnetic Navigation and Mapping: K. Jeramy Hughes, FieldLine Industries, University of Colorado; Ricardo Jimenez, FieldLine Industries
	Mixed-integer Moving Horizon Estimation for Terrain-Aided Navigation Using Hybrid Zonotopes: Andrew F. Thompson, Joshua A. Robbins, The Pennsylvania State University; Matthew E. Boler, Sandia National Laboratories; and Herschel C. Pangborn, The Pennsylvania State University
	On the Connection Between Magnetic-Field Odometry Aided Inertial Navigation and Magnetic-Field SLAM: Manon Kok, Delft University of Technology; Isaac Skog, KTH Royal Institute of Technology; Gustaf Hendeby, Linköping University; Thomas Edridge, Delft University of Technology; Chuang Huang, KTH Royal Institute of Technology
	Satellite Image Informed Path Planning for Improved Visual Localization of UGVs in GNSS-Denied Environments: Jordan Westphal, University of Illinois at Urbana-Champaign; Arturo Saucedo, Maribel DeLaTorre, and Ahmet Soylemezoglu, Engineer Research and Development Center
	Terrain-Aided Navigation Using a Point Cloud Measurement Sensor: Abdülbaki Sanlan, Fatih Erol, Istanbul Technical University; Murad Abu-Khalaf, Turkish Aerospace; Emre Koyuncu, Istanbul Technical University
	Terrain-Aided Navigation via Monocular Vision-Based 3D Terrain Reconstruction: Sungjoong Kim, Hohyeong Lee, KAIST; Kyungwoo Hong, TelePIX Co., Ltd.; and Hyochoong Bang, KAIST
	WM-GFM: A Novel Vehicle Geomagnetic Feature Matching Positioning Method Assisted by Weak Mileage Information: Yixuan You, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS) & School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences; Xinchun Ji, Dongyan Wei, Qifeng Lai, Aerospace Information Research Institute, CAS

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