Dr. Jiwon Seo
Yonsei University
Sharbel Kozhaya
The Ohio State University
Dr. Zak Kassas
The Ohio State University
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| Presentations | ||
| 1:50 |
5G Direct Position Estimation for Precise Localization in Dense Urban Area
Sijia Li, Sergio Vicenzo, and Bing Xu, The Hong Kong Polytechnic University |
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| 2:12 |
Blind Opportunistic Localization with 5G, LTE, and Digital TV Signals
Shaghayegh Shahcheraghi and Zaher Kassas, The Ohio State University |
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| 2:35 |
An Empirical Assessment of Indoor-Outdoor Localization Based on Signals of Opportunity from Multiple Systems
Albrecht Michler, Paul Schwarzbach, Jonas Ninnemann, Muhammad Ammad, and Oliver Michler, TUD Dresden University of Technology |
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| 2:58 |
Low-SWaP GNSS-denied Navigation using LTE Signals of Opportunity
TTyler Sweat, Willie K. Harrison, Michael Rice, and Randal W. Beard, Brigham Young University |
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| 3:20 |
Maximum Likelihood Time-Delay Estimation in Multipath Channels with Two- and Three-Paths Models Using OFDM
Lucas Alvarez Navarro, Christian C. J. M. Tiberius, Department of Geoscience and Remote Sensing, Delft University of Technology; Gerard J. M. Janssen, Department of Microelectronics, Delft University of Technology |
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| 3:43 |
Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
Ossi Kaltiokallio, Unit of Electrical Engineering, Tampere University; Roland Hostettler, Department of Electrical Engineering, Uppsala University; Jukka Talvitie, and Mikko Valkama, Unit of Electrical Engineering, Tampere University |
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| 4:05 |
Indoor Localization Based on Machine LearningAssisted PDR and Signals of Opportunity From Ambient Generic BLE Devices
Masakatsu Kourogi, Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, and Takashi Okuma, AIST |
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| 4:28 |
Wi-Fi RTT Range Offset and Multi-Band Analysis: Challenges and Opportunities for Indoor Localization
Sultan Al Sulami, Tarig Ballal, Muhammad Moinuddin, and Tareq Al-Naffouri, Electrical and Computer Engineering Dept., King Abdulaziz University |
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