Session C1a: Navigation Using Environmental Features


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Date: Wednesday, September 22, 2021
Time: 8:30 a.m. - 10:05 a.m.
Location: Regency C
In-Person presenters in this session may provide pre-recorded presentations for viewing by registered attendees.

Session Chairs

Dr. Joseph Curro
Air Force Institute of Technology

Dr. Andrey Soloviev

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 Magnetic Localization Through INS Integration and Improvements in Map Matching : Ryan McWilliams, Howard Chen, Luke Kamrath, David Bevly, GPS & Vehicle Dynamics Lab Auburn University
8:57 Evaluation of Simultaneous Localization and Calibration of a Train Mounted Magnetometer : Benjamin Siebler, Andreas Lehner, Stephan Sand, German Aerospace Center (DLR), Germany and Uwe D. Hanebeck, Karlsruhe Institute of Technology, Germany Peer Reviewed
9:20 Performance Evaluation of Radio SLAM with Terrestrial Signals of Opportunity : Alex Nguyen and Zak (Zaher) M. Kassas, University of California, Irvine Peer Reviewed
9:43 Real-time Aerial Magnetic and Vision-aided Navigation : Daniel J. Clarke and Joseph A. Curro, US Air Force
Virtual Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 22.
  Cooperative Estimation of Maps of Physical and Virtual Radio Transmitters : Markus Ulmschneider, Christian Gentner and Armin Dammann, German Aerospace Center (DLR), Institute of Communications and Navigation, Germany Peer Reviewed
  Environmental Feature Enabled Digital Track Map for GNSS-based Train Localization Safety Boundary Estimation : Debiao Lu, Baigen Cai, Dezhang Tang, Jian Wang, Jiang Liu, Beijing Jiaotong University, China Peer Reviewed
  High-precision Positioning using Height-constraint RTK Method under Urban Environments : Yuli He, Hongbo Zhao, Chen Zhuang, Shan Hu, Wenquan Feng, Beihang University, China Peer Reviewed
  Low-cost Star Tracker Development with a Laboratory Simulation : Wen-Chiao Chen and Shau-Shiun Jan, National Cheng Kung University, Taiwan
  Radar-Based Localization Using Visual Feature Matching : Mohamed Elkholy, Mohamed Elsheikh, Naser El-Sheimy, Department of Geomatics Engineering, University of Calgary, Canada Peer Reviewed
  Research on Monocular Image Depth Estimation Based on Deep Learning and Camera Principle : Zipei Shuai and Hongyang Yu, University of Electronic Science and Technology of China (UESTC), China
  Safe Position Estimation for Train-borne Localisation using INS and Digital Map Data : Andreas Wenz, Swiss Federal Railways; Sebastian Ohrendorf-Weiss, Swiss Federal Railways, Switzerland Peer Reviewed
  Set-valued Shadow Matching using Zonotopes : Sriramya Bhamidipati, Shreyas Kousik and Grace Gao, Stanford University Peer Reviewed