Session D2: AI-Enhanced Navigation

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Date: Tuesday, April 29, 2025
Time: 1:45 p.m. - 5:30 p.m.

Session Chairs:

Dr. Michael Veth Veth Research Associates	Dr. Tobias Feigl Fraunhofer IIS

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 Multi-Source Fusion Train Positioning Technique Based on Machine Learning and Signals of Opportunity: Wentao Zhang, Xiaohui Ba, Wei Jiang, Baigen Cai, Jian Wang, Beijing JiaoTong University
	AI-Aided Inertial Sensor: Itzik Klein, The Autonomous Navigation and Sensor Fusion Lab (ANSFL) The Hatter Department of Marine Technologies, University of Haifa
	Augmented Physics-Based Model for GNSS/INS Dynamics Modeling: Shuo Tang, Electrical, and Computer Engineering Dept., Northeastern University; Haoqing Li, Department of Geomatics Engineering, University of Calgary; Pau Closas, Electrical, and Computer Engineering Dept., Northeastern University
	Box Trailer Articulation Angle Estimation Using Mirror-Mounted Cameras and Deep Learning for Class-8 Vehicles: Tahn Thawainin, Tyler Flegel, and David Bevly, Auburn University
	Cross Ambiguity Function Resolution Enhancement Using Neural Networks for Direct Position Estimation Computational Cost Reduction: Haoqing Li, Department of Geomatics Engineering, University of Calgary; Shuo Tang, Electrical, and Computer Engineering Dept., Northeastern University; Kyle O’Keefe, Department of Geomatics Engineering, University of Calgary; Pau Closas, Electrical, and Computer Engineering Dept., Northeastern University
	Efficient LOS/NLOS Classification in 5G NR Using Field Image Transformation and Modified Mean Teacher Framework: Ziheng Chen, Renhao Liu, Zhongliang Deng, Enwen Hu, and Yongheng Deng , Beijing University of Posts and Telecommunications
	Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers: Lukas Schelenz, Shobha Rajanna, Denis Gosalci, Lucas Heublein, Jonas Pirkl, Jonathan Ott, Felix Ott, Fraunhofer Institute for Integrated Circuits IIS; Tobias Feigl, Fraunhofer IIS & Friedrich-Alexander-Universität (FAU)
	Gaussian Process Regression for Improved Underwater Navigation: Nadav Cohen and Itzik Klein, The Hatter Department of Marine Technologies, Charney School of Marine Sciences, University of Haifa
	GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU: Thorben Wegner, Lucas Heublein, Fraunhofer Institute for Integrated Circuits IIS; Tobias Feigl, Fraunhofer IIS & Friedrich-Alexander-Universität (FAU); Felix Ott, and Alexander Rügamer, Fraunhofer Institute for Integrated Circuits IIS
	Leveraging 4D Voxel Representation to Enhance Sim2Real Transfer in Autonomous Navigation: Chaoyi Xu, Wen Liu, and Zhongliang Deng, Beijing University of Posts and Telecommunications
	On Using Artificial Neural Networks for Multipath Radio Channel Estimation: Rostislav Karasek, Institute of Flight Guidance, German Aerospace Center (DLR); Christian Gentner, Institute of Communications and Navigation, DLR
	Real-Time Detection of Transport Modes and Movement States via Smartphone Data: Aicha Karite and Christian Gentner, German Aerospace Center (DLR)
	Temporal Modeling and Prediction of Global Ionospheric Total Electron Content: A Comparative Study of Deep Learning Approaches: Xinran Bu, School of Software, Beihang University, Zheng Gong, School of Instrumentation and Opto-Electronic Engineering, Beihang University;Kunlin Yang, Yifei Chen, School of Instrumentation and Opto-Electronic Engineering, Beihang University; Yang Liu, School of Instrumentation and Opto-Electronic Engineering, Beihang University & Marconi Lab, Science Technology and Innovation Section, Abdus Salam International Centre for Theoretical Physics
	WaveSenseNet: A Self-Supervised Learning Framework for Robust GPR-Based Localization in Autonomous Systems: Anisha Singrodia and Amol Vagad, GPR (Ground Positioning Radar)

Evening Hours in Exhibit Hall 5:30 p.m. – 6:30 p.m.

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