Dr. Michael Veth
Veth Research Associates, LLC
Dr. Stefano Maggiolo
Google Inc.
Dr. Mohammed Khider
Google
In-Person Presentations These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by virtual attendees. |
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8:35 | A Hybrid Numerical-Machine Learning Approach for LEO Satellite Orbit Prediction : Jamil Haidar-Ahmad and Zak (Zaher) M. Kassas, University of California, Irvine | |
8:57 | GPS Spoofing Detection Using Machine Learning and Singular Value Decomposition : Logan L. Maynard, University of Colorado Colorado Springs | |
9:20 | Machine Learning-assisted GNSS Interference Monitoring through Crowd-sourcing : Nisha Lakshmana Raichur, Tobias Brieger, Fraunhofer Institute for Integrated Circuits (IIS); Dorsaf Jdidi, Friedrich-Alexander-University (FAU), IIS; Carlo Schmitt, IIS; Tobias Feigl, IIS, FAU; J. Rossouw van der Merwe, Birendra Ghimire, Felix Ott, Alexander Ruegamer, Wolfgang Felber, IIS | |
9:43 | Machine Learning Compression for GNSS Interference Analysis : Dorsaf Jdidi, Fraunhofer Institute for Integrated Circuits (IIS), Friedrich-Alexander-University (FAU), Germany; Luca Reeb, IIS, Germany; Tobias Brieger, IIS, FAU, Germany; Tobias Feigl, IIS, Germany; David Contreras Franco, IIS, FAU, Germany; J. Rossouw van der Merwe, Alexander Rügamer, and Wolfgang Felber, IIS, Germany | |
10:40 | Leveraging Machine Learning Power in the Low-Cost Mass-Market Allystar GNSS Chip : Marco Mendonca, Altti Jokinen, Allystar Technology (Canada) Ltd.; Ryan Yang, Gary Hau, and Yi-Fen Tseng, Allystar Technology Co., Ltd. | |
11:03 | Nonlinear Regression-based GNSS Multipath Map Construction and Its Dynamic Application in Deep Urban Area : Byungwoon Park and Yongjun Lee, Sejong University | |
11:26 | CNN-based GNSS Direct Positioning in Urban Areas with Residual Maps : Penghui Xu, Guohao Zhang, Dept. of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University; Bo Yang, The Dept. of Computing, The Hong Kong Polytechnic University; Li-Ta Hsu, Dept. of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University | |
11:48 | Designing Deep Neural Networks for Sequential GNSS Positioning : Shubh Gupta, Ashwin V. Kanhere, Akshay Shetty, and Grace Gao, Stanford University | |
Alternate Presentations Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate Presenters will provide a pre-recorded presentation for on-demand viewing by virtual attendees. | ||
1. | The Development and Evaluation of a Hybrid Vision-LiDAR Mapping and Localization Sensor for Resource-constrained Autonomous Systems : Aaron Hunter, Pavlo Vlastos, Carlos Espinosa, Renwick Curry, and Gabriel Elkaim, University of California, Santa Cruz | |
2. | Deep Learning-based Multi-camera Homography Estimation for Autonomous Vehicles : Sara Baldoni, Roma Tre University; Federica Battisti, University of Padova; Michele Brizzi, Michael Neri, Roma Tre University; Alessandro Neri, Roma Tre University and RadioLabs |
Virtual Presentations ![]() Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 21. | ||
A Robust RGB-D SLAM using Deep Learning for Depth Map Improvement : Hao Zhang and Hongyang Yu, University of Electronic Science and Technology of China | ||
How Next-Gen GNSS is Positioned to Power Up the World of IoT : Christopher Coromelas, Telit | ||
Machine Learning-Based Vehicle/Human Motion Detection of Low-Cost IMU for Two-Wheeler DR Navigation : Guang-Je Tsai , Song-Ying Li, You-Liang Chen, Tzu-Yin Chen, Shi-Xian Yang, AIROHA (Company of MediaTek Group) | ||
Remote Sensing Image Target Detection Based on Improved Faster R-CNN : Dong Zhou, Ruihao Zhou, Chengjun Guo, University of Electronic Science and Technology of China | ||
Satellite Video Target Tracking Based on Improved YOLOv3 and Deep Sort : Dong Zhou, Ruihao Zhou, Chengjun Guo, University of Electronic Science and Technology of China |
Awards Luncheon • 12:15 p.m. - 1:30 p.m. (Lunch served until 12:30 p.m.; late arrivals will not be served)
For Attendees Technical Program Registration Hotel Travel and Visas COVID-19 Information Smartphone Decimeter Challenge Exhibits Submit Kepler Nomination For Authors and Chairs Abstract Management Author Resource Center Session Chair Resources Student Paper Awards For Exhibitors Exhibitor Resource Center Marketing Resources Other Years Future Meetings Past Meetings