Session C1a: Navigation Using Environmental Features


Date: Wednesday, September 22, 2021
Time: 8:30 a.m. - 10:05 a.m.
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

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.
1. 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
2. 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
3. Performance Evaluation of Radio SLAM with Terrestrial Signals of Opportunity: Alex Nguyen and Zak (Zaher) M. Kassas, University of California, Irvine
4. Real-time Aerial Magnetic and Vision-aided Navigation: Daniel J. Clarke and Joseph A. Curro, US Air Force
Alternate Presentation
Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate presenters have the option of providing a pre-recorded presentation for on-demand viewing by virtual attendees.
1. Magnetic Localization Through INS Integration and Improvements in Map Matching: Ryan McWilliams, Howard Chen, Luke Kamrath, David Bevly, GPS & Vehicle Dynamics Lab Auburn University
Virtual Presentations
Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 22.
  Computationally Efficient Shadow Matching using Zonotopes : Sriramya Bhamidipati, University of Illinois at Urbana-Champaign; Shreyas Kousik and Grace Xingxin Gao, Stanford University
  Environmental Feature Enabled High Integrity Digital Track Map for GNSS-based Train Localization Safety Margin Estimation : Debiao Lu, Baigen Cai, Dezhang Tang, Jian Wang, Jiang Liu, Beijing Jiaotong University, China
  High-precision Positioning using Height-constraint RTK Method under Urban Environments : Yuli He, Hongbo Zhao, Chen Zhuang, Shan Hu, Wenquan Feng, Beihang University, China
  Low-cost Star Tracker Development with 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
  Reference Point Generation for Train-borne Localisation using INS and Digital Map Data : Andreas Wenz, Swiss Federal Railways; Sebastian Ohrendorf-Weiss, Swiss Federal Railways, Switzerland
  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