Session B5b: Precise GNSS Positioning


Date: Thursday, January 26, 2023
Time: 3:30 p.m. - 4:55 p.m.
Location: Beacon A (4th Floor)
Session Chairs:
Dr. Daniel Medina
German Aerospace Center (DLR)
Dr. Patrick Henkel
Technical University Munich

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1. RTK Availability Prediction Using a 3D City Model and Machine Learning : Kaito Kobayashi and Nobuaki Kubo, Tokyo University of Marine Science and Technology Peer Reviewed
2. Precision-Aided Partial Ambiguity Resolution Scheme for GNSS Attitude Determination : J. Manuel Castro-Arvizu, Trimble Terrasat; Daniel Medina, Institute of Communications and Navigation, German Aerospace Center (DLR); Jordi Vilà-Valls, Institut Supérieur de l’Aéronautique et de l’Espace (ISAE-SUPAERO), University of Toulouse Peer Reviewed
3. Characterization and Comparison of Galileo and GPS Anomalies : Rebecca Wang, Todd Walter, Stanford University Peer Reviewed
4. Analysis of RTK Positioning Accuracy Using Antenna Calibrated Commercial Samsung Smartphone : Bu-Gyeom Kim, Jong-Heon Kim, Changdon Kee, Department of Aerospace Engineering and SNU-IAMD, Seoul National University; Sunkyoung Yu, Jungbeom Kim, Samsung Electronics System LSI
On-Demand Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Tuesday, January 23.
  A Multi-GNSS PPP Partial Ambiguity Resolution Method Based on Observations Weight Ranking : Zhiguo Sun, Lin Zhao, Fuxin Yang, Jie Zhang, Ruizhe Zhang, College of Intelligent Systems Science and Engineering, Harbin Engineering University Peer Reviewed
  Real-time Kinematic Positioning Algorithm in Graphical State Space : Sudan Yan, Shaolin Lü, GraphOptimization Inc.; Gang Liu, Yiding Zhan, Department of Electronic Engineering, Tsinghua University; Jianan Lou, Rong Zhang, Department of Precision Instrument, Tsinghua University