Session D4a: AI-Enhanced Navigation Systems

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Date: Wednesday, April 26, 2023
Time: 1:45 p.m. - 5:30 p.m.

Session Chairs:
Dr. Erik Blasch
Air Force Office of Scientist Research
Dr. Jindrich Dunik
University of West Bohemia

A Novel Satellite Selection Algorithm Using LSTM Neural Networks for Single-Epoch Localization: Ibrahim Sbeity, CEA-Leti, Université Grenoble Alpes, ETIS UMR, CY Cergy Paris Université, ENSEA, CNRS; Christophe Villien, CEA-Leti, Université Grenoble Alpes; Marwa Chafii, Abu Dhabi, Engineering Division, New York University; Christophe Combettes, Benoît Denis, CEA-Leti, Université Grenoble Alpes; and E. Veronica Belmega, Univ. Gustave Eiffel, CNRS, LIGM, ETIS UMR CY Cergy Paris Université, ENSEA, CNRS
An Improved Transformer Fault Diagnosis Method for Integrated Navigation Based on Generative Adversarial Network.: Ruozhang Liu, Ya Zhang, Shiwei Fan, Yuliang Jin, Yanyan Wang, Fei Yu, Harbin Institute of Technology
Deep Learning-driven Automatic Estimation of Smartphone Installation Angles for Vehicle Navigation: Jingxian Wang, Weihao Ding, Dept. of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University; Jianbo Shao, The Hong Kong Polytechnic University & Harbin Institute of Technology; Duojie Weng, Wu Chen, The Hong Kong Polytechnic University
Improving Predictive Navigation Through the Optimization of Counterfactual Track Evaluation: Alexander Stringer, Geoffrey Dolinger, Debra Hogue, USAF/76 SWEG; Brian Sun, Lacey Schley, Justin Metcalf, University of Oklahoma; Adam Bowersox, USAF/76 SWEG
Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges: Swapnil Sayan Saha, University of California, Los Angeles; Yayun Du, Northwestern University; Sandeep Singh Sandha, Amazon; Luis Garcia, University of Southern California; Mohammad Khalid Jawed, Mani Srivastava, University of California, Los Angeles
Machine Learning-Based Classification of the GNSS Signal Reception Condition Using a Dual-Polarized Antenna in Urban Areas: Sanghyun Kim, Jiwon Seo, Yonsei University
Mortar Trajectory Estimation by a Deep Error-State Kalman Filter in a GNSS-Denied Environment: Alicia Roux, French-German Research Institute of Saint-Louis / Université de Haute-Alsace; Sébastien Changey, French-German Research Institute of Saint-Louis; Jonathan Weber, Jean-Philippe Lauffenburger, Université de Haute-Alsace
Q-learning Model Covariance Adaptation of Rao-Blackwellized Particle Filtering Estimations for Airborne Geomagnetic Navigation: Andrei Cuenca and Hever Moncayo, Embry-Riddle Aeronautical University
Solution Separation-based Integrity Monitor for Integrated GNSS/IMU/Camera Navigation: Constraining the Hypothesis Space With Deep Learning: Vasileios Bosdelekidis, Tor A. Johansen, Department of Engineering Cybernetics, Norwegian University of Science and Technology; Nadezda Sokolova, SINTEF & Department of Engineering Cybernetics, Norwegian University of Science and Technology; Torleiv H. Bryne, Department of Engineering Cybernetics, Norwegian University of Science and Technology
Uncertainty Analyses of Deep Reinforcement Learning Algorithm for Highway Trajectory Planning: Majid Moghadam, Engin Tekin, Shreedhar Jangam, and Gabriel Hugh Elkaim, University of California, Santa Cruz

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