Session B1: Ground Vehicle Navigation


Date: Wednesday, September 23, 2020
Time: 8:30 a.m. - 10:05 a.m.

Session Chairs:
Dr. David Bevly
Auburn University
Dr. Victoria Kropp
BMW, Germany

1. Evaluating the Urban Trench Model for Improved GNSS Positioning in Urban Areas: Lucy Icking, Tobias Kersten, and Steffen Schön, Institut für Erdmessung, Germany
2. Evaluating GNSS/INS Navigation Availability in 3-D Mapped Urban Environments: Kana Nagai, Titilayo Fasoro, Matthew Spenko, Ron Henderson, and Boris Pervan Illinois Institute of Technology
3. Novel Snapshot Integrity Algorithm for Automotive Applications: Test Results based on Real Data: Rod Bryant, Olivier Julien, Chris Hide, Said Moridi, u-blox, Switzerland; Ian Sheret, Polymath Insight Limited, Switzerland
4. Optimal Integrity-Constrained Path Planning for Ground Vehicles: Mahdi Maaref and Zaher (Zak) Kassas, University of California, Irvine
1. Deep Learned Multi-Modal Traffic Agent Predictions for Truck Platooning Cut-Ins: Samuel P. Douglass Jr., Scott Martin, Andrew Jennings, Howard Chen, David M. Bevly, Auburn University
2. LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR: Jiang Yue, Hong Kong Polytechnic University & Nanjing University of Science and Technology, China; Weisong Wen, Hong Kong Polytechnic University, China; Jing Han, Nanjing University of Science and Technology, China Li-Ta Hsu, Hong Kong Polytechnic University, China
3. Real Time Results of Vector Delay Lock Loop in a Light Urban Scenario: Katrin Dietmayer, Florian Kunzi, Fabio Garzia, Matthias Overbeck, Wolfgang Felber, Fraunhofer IIS, Germany

10:05-10:35, Break. Refreshments in Exhibit Hall