Rex Mykrantz
AFRL/RYWN
Dr. Zhen Zhu
Eastern Carolina University
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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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| 10:40 |
Enhancing Infrared Tracking for Visual Semantic Navigation via Parameter-Efficient Adaptation of AI Foundation Models
Taeyoon Kim, Chan Gook Park, Seoul National University Peer Reviewed |
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| 11:03 |
Covariance-Normalized SOCP Metric for Robust EWF Detection in GNSS Signal Quality Monitoring
Eugene Kim, Euiho Kim, Hongik University |
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| 11:26 |
Exploring Machine Learning Techniques in the Detection and Classification of GNSS Receiver and Simulator Clocks
Zhen Zhu, East Carolina University; Sanjeev Gunawardena, Air Force Institute of Technology; Eric Vinande, Jason Pontious, Air Force Research Lab |
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| 11:48 |
Challenges and Lessons in Assessing the DGPS Positioning Credibility For Landslides Monitoring
Penggao Yan and Li-Ta Hsu. All authors are from the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University. |
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On-Demand Presentations Pre-recorded presentations will become available for viewing by registered attendees on Tuesday, January 28. | ||
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A Fast Satellite Selection Method Based on Graph Attention Network for Improving GNSS Positioning Accuracy
Xiuxun Liu, Jiaolong Wei, Zuping Tang, Chuang Zhou, School of Electronic Information and Communication, Huazhong University of Science and Technology Peer Reviewed |
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MSVIB-Net: Taming High-Dimensional GNSS Signals for Real-Time Spoofing Detection on AIoT Devices
Jing Ji, Changzhen Li, School of Information Engineering, Wuhan University of Technology; Wei Chen, Luyao Du, Quanguo Ye, School of Automation, Wuhan University of Technology; Zhonghui Pei, School of Computer Science, Wuhan Institute of Technology; Hongyang Lu, Jiantong Zhang, Division of Spatio-information, China Transport Telecommunications & Information Center; Jing Ji, VCSCIT Innovation Center, Wuhan Xingtu Electronics Co., Ltd. Peer Reviewed |
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