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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 Navigation Availability in 3-D Mapped Urban Environments: Kana Nagai, Titilayo Fasoro, Matthew Spenko, Ron Henderson, and Boris Pervan, Illinois Institute of Technology | |
3. | GNSS/LiDAR Integration Aided by Self-adaptive Gaussian Mixture Models in Urban Scenarios: An Approach Robust to Non-Gaussian Noise: Weisong Wen, Xiwei Bai, Li-Ta Hsu, The Hong Kong Polytechnic University, China; Tim Pfeifer, Chemnitz, Chemnitz University of Technology, Germany | |
4. | Optimal GPS Integrity-Constrained Path Planning for Ground Vehicles: Mahdi Maaref and Zaher M. Kassas, University of California, Irvine | |
5. | Robust Vehicle Localization and Integrity Monitoring based on Spatial Feature Constrained PF: Jelena Gabela, Ivan Majic, University of Melbourne, Australia; Allison Kealy, RMIT University, Australia; Mark Hedley, Shenghong Li, CSIRO, Data 61, Australia | |
6. | 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 | |
7. | Effect of Wheel Odometer on Low-cost Visual-Inertial Navigation System for Ground Vehicles: Jaehyuck Cha, Jae Hyung Jung, Jae Young Chung, Tae Ihn Kim, Chan Gook Park, Department of Mechanical & Aerospace Engineering / Automation and Systems Research Institute, Seoul National University, Republic of Korea; Myung Hwan Seo, Sang Yeon Park, Jong Yun Yeo, IVS, In-Vehicle Solution, Development Team, Hyundai MnSOFT, Republic of Korea | |
8. | Deep Learned Multi-Modal Traffic Agent Predictions for Truck Platooning Cut-Ins: Samuel Paul Douglass Jr., Scott Martin, Andrew Jennings, Howard Chen, David M. Bevly, Auburn University | |
Alternate | ||
1. | 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 |