Session C5: High Precision GNSS Positioning on Smartphones Challenge (sponsored by Google)


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Date: Friday, September 24, 2021
Time: 8:30 a.m. - 11:00 a.m.
Location: Regency C
In-Person presenters in this session may provide pre-recorded presentations for viewing by registered attendees.

Session Chairs

Dr. Michael Fu

Dr. Frank van Diggelen

Track Chair

Dr. Jason Gross
West Virginia University

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In-Person Presentations
These presentations will be given in-person at the conference. Presenters have the option of providing a pre-recorded presentation for on-demand viewing by virtual attendees.
8:35 Smartphone Decimeter Challenge: Navigation through the Processing of Android Data with a High-Order Kalman Filter : Christian J. Campos-Vega, Tanner M. Watts, Scott M. Martin, Howard Chen, and David M. Bevly, Auburn University
8:57 Third Place Winner of the Smartphone Decimeter Challenge: Minimizing Measurement Error with Gradient Descent : Ilya Elenik,, Russia
9:20 Second Place Winner of the Smartphone Decimeter Challenge: XGBoost Improved Pseudoranges with Postprocessing for Smartphones GNSS Positioning : Wojciech Rosa, Department of Applied Mathematics, Lublin University of Technology, Poland
9:43 First Place Winner of the Smartphone Decimeter Challenge: Global Optimization of Position and Velocity by Factor Graph Optimization : Taro Suzuki, Chiba Institute of Technology, Japan
Virtual Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 22.
  A Loosely Coupled Time-differenced RTK and INS/NHC Approach for Smartphone-based Precise Vehicle Navigation : Lei Wang, Ningsong Hu, Ruizhi Chen, Tao Li, Haitao Zhou, Yingbo Suo, Wuhan University, China
  Application of UofC Model based Multi-GNSS PPP to Smartphones GNSS Positioning : Farzaneh Zangenehnejad and Yang Gao, Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Canada Peer Reviewed
  Centralized Processing of Multiple Smartphone Raw Measurements with Fixed and Known Position Onboard a Vehicle : Arnau Ochoa Banuelos, CS GROUP, France; Jan Bolting, Xiao Hu, Paul Thevenon, ENAC, Université de Toulouse,France; Bryan Cazabonne, Matthieu Pascaud, Arnaud Ginestet, CS GROUP, France
  Changing Lanes with Smartphones Technology : *Garrett Seepersad, *Jiahuan Hu, Sihan Yang, Ding Yi, and Sunil Bisnath, York University, Canada Peer Reviewed
  Evaluation of Decimeter Positioning Post-Processing Algorithms using GNSS Raw Measurements : Belén Castel, Iñigo Cortés, J. Rossouw van der Merwe, Katrin Dietmayer, Alexander Rügamer, Wolfgang Felber, Fraunhofer Institute for Integrated Circuits IIS, Germany
  Fast Convergence Real-Time Precise Point Positioning with Android Smartphone GNSS Data : Fei Liu, Mohamed Elsheikh, Yang Gao, Naser El-Sheimy, Profound Positioning Inc., Canada
  Global Navigation Satellite System (GNSS) Position Correction based on Convolutional Neural Network Estimating Environmental Model : Augie Widyotriatmo, Kalis Pamungkas, Bardo Wenang, Jimmy Merari, Teguh Sujatno, Rifki Rizal Derrian, Fajar Naga Muda Gregori W, Obed Christian Alexander, Institut Teknologi Bandung, PT Semai Raya Internasional, Indonesia
  High Precision GNSS Positioning on Smartphones Challenge -On Smartphone-Based Wide Area High Precision Positioning using SSR : Tiantian Tang, Qinyun Hu, Yan Xiang, Sijie Lye, Wenxian Yu, Shanghai Jiaotong University, China
  Hybrid Single/Dual-Frequency GNSS PPP/RISS Tightly-Coupled Integration for Precise Smartphone-Based Navigation : Abdelsatar Elmezayen and Ahmed El-Rabbany, Department of Civil Engineering, Ryerson University, Canada
  Improving GNSS Positioning using Neural Network-based Corrections : Ashwin Vivek Kanhere, Shubh Gupta, Akshay Shetty and Grace Gao, Stanford University.
  Improving Precision GNSS Positioning and Navigation Accuracy on Smartphones using Machine Learning : Akpojoto Siemuri, Kannan Selvan, Heidi Kuusniemi, Petri Välisuo, Mohammed S. Elmusrati. School of Technology and Innovations University of Vaasa, Finland.
  Integrating Atmosphere and Satellite Corrections from RTK-network with IMU-derived Information for Improving Smartphone-positioning Accuracy : M.Mahdi Alizadeh, GFZ German Center for Geosciences, Geo Smartphone Solutions (GeoSPS UG), and Technical University of Berlin, Germany; Amirhossein Pourmina, Samin Nasr-Azadani, Geo Smartphone Solutions (GeoSPS UG), Germany; Harald Schuh, GFZ German Center for Geosciences, GeoSPS UG, Institute of Geodesy and Geoinformation Science, Technical University of Berlin, Germany
  Multi-state Constraint and Tightly-coupled RTK/INS Navigation with Android Multi-GNSS Dual-frequency Observations : Jianghui Geng, Chiyu Long, Feng Wang, Guangcai Li, Wuhan University, China
  Precise Positioning with Machine Learning based Kalman Filter using GNSS/IMU Measurements from Android Smartphone : Kahee Han, Subin Lee, Young-Jin Song, Hak-Beom Lee, Dong-Hyuk Park, Jong-Hoon Won Autonomous Navigation Lab., Inha University, South Korea
  Robust Filtering for Differential and Multi-Antenna Precise Navigation : Shuo Tang, Haoqing Li, Dept. of Electrical and Computer Engineering, Northeastern University; Daniel Medina, Institute of Communications and Navigation, German Aerospace Center (DLR), Germany; Pau Closas, Dept. of Electrical and Computer Engineering, Northeastern University
  The Whole Works: Enhancing GNSS Positioning using IMU Data and Local Ground Augmentation Strategies : Marco Fortunato, Geodesy and Geomatics Division, DICEA, Sapienza University of Rome, Italy; Eva Fernandez Rodriguez, GMV Aerospace & Defence SAU, GNSS Advanced User Segment Systems, Spain; Giulio Tagliaferro, Geomatics Research & Development. Geodesy and Geomatics Division, Politecnico di Milano, Italy; Joshua Critchley-Marrows, School of Aeronautical, Mechanical and Mechatronic Engineering, Faculty of Engineering and IT, The University of Sydney, Australia

Awards Luncheon, 12:15 p.m. - 1:30 p.m. (lunch served until 12:45 p.m., late arrivals will not be served)