Session C4: Positioning Technologies and Machine Learning

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Date: Thursday, September 19, 2024
Time: 1:45 p.m. - 5:30 p.m.
Location: Holiday Ballroom 2
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 18.

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In-Person Presentations These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
1:50	Deep Learning Assisted Kalman Filter for GNSS/MEMS IMU Integration in GNSS Denied Environments   Shuo Li, Bosch, Universität der Bundeswehr München; Thomas Pany, Universität der Bundeswehr München; Maxim Mikhaylov, ETH Zurich; Nikoaly Mikhaylov, Fugro Innovation & Technology
2:12	Enhanced GNSS Multipath Map in Urban Canyon Using User Data Clouding   Yongjun Lee, Byungwoon Park, Sejong University
2:35	AI-Enhanced Smartphone-Based GNSS/INS Integration: Improved Vehicular/Pedestrian Navigation in Challenging Scenarios Using Machine Learning An-Lin Tao, Yu-Kai Lin, Hau-Hsiang Chan, Li-Min Lin, Pie-Shan Kao, Mediatek Inc.
2:58	Improving Smartphone Positioning by Adapting Measurement Noise Covariance using Machine Learning     Anurag Raghuvanshi, Karolina Tchilinguirova, Soroush Sasani, Sunil Bisnath, York University
3:25 - 3:55, Break. Refreshments in Exhibit Hall
4:00	Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies     Lucas Heublein, Nisha L. Raichur, Tobias Feigl, Tobias Brieger, Fraunhofer Institute for Integrated Circuits IIS; Fin Heuer, Lennart Asbach, German Aerospace Center (DLR); Alexander Rügamer, Felix Ott, Fraunhofer Institute for Integrated Circuits IIS Best Presentation
4:23	GNSS Positioning Uncertainty Estimation in Challenging Environments Using Voting Ensemble Learning Ni Zhu, Syed Haseeb Ahmad, Valérie Renaudin, AME-GEOLOC, University Gustave Eiffel
4:46	Reinforcement Learning-Based Optimization of GSHARP PPP for Multipath Mitigation in GNSS Positioning A. Tena, A. Chamorro, E. Carbonell, D. Calle, GMV
5:08	Real Time Feature Detection and Localization Using a Fisheye Camera Richard Nyquist, Ryan Raettig, Clark Taylor, Scott Nykl, Autonomy and Navigation (ANT) Center
Alternate Presentation Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
2.	Deep Learning-Based Transition Detection for Seamless Indoor-Outdoor Localization Chanyeong Ju, Jaeho Jang, Jaehyun Yoo, IPIN LABS

On-Demand Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 18.
	An ORB-Based SLAM Using Deep Learning for Dynamic Environments     Yiheng Zhao and Hongyang Yu, Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China(UESTC)
	Enhancing GNSS Positioning Using Transformer-Based Correction Network     Changyi Zhu, Yan Na, Xidian University; Xueyong Xu, Dingcheng Wu, Kefan Wei, North Information Control Research Academy Group CO., LTD; Cheng Ji, Nanjing University of Science and Technology
	Performance Analysis of Spoofing Detection Methods Based on Neural Networks Muhammad Jalal, Chao Sun, Shuai Zhang, Lu Bai, ZiChao Qin, An Wang, Yingzhe He, Beihang University
	Potential Problem Analysis and RF Based Improvement of RPM on Android Devices     Min He, Hong Li, Hao Wang, Zhenyang Wu, Lintao Wang, and Mingquan Lu, Department of Electronic Engineering, Tsinghua University

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