Indoor Radio Map Construction and Localization With Deep Gaussian Processes
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Xiangyu Wang | Jian Zhang | Shiwen Mao | Justin Patton | Xuyu Wang | Senthilkumar C. G. Periaswamy | Jian Zhang | S. Mao | Xuyu Wang | J. Patton | Xiangyu Wang | S. Periaswamy
[1] Prathima Agrawal,et al. Mobility improves LMI-based cooperative indoor localization , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).
[2] Shiwen Mao,et al. RFHUI: An Intuitive and Easy-to-Operate Human-UAV Interaction System for Controlling a UAV in a 3D Space , 2018, MobiQuitous.
[3] Xiangyu Wang,et al. ResLoc: Deep residual sharing learning for indoor localization with CSI tensors , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
[4] Ye Tao,et al. A Novel System for WiFi Radio Map Automatic Adaptation and Indoor Positioning , 2018, IEEE Transactions on Vehicular Technology.
[5] Holger Claussen,et al. RSSI Localization with Gaussian Processes and Tracking , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).
[6] Kaishun Wu,et al. FIFS: Fine-Grained Indoor Fingerprinting System , 2012, 2012 21st International Conference on Computer Communications and Networks (ICCCN).
[7] Xiao Zhang,et al. Device-Free Wireless Localization and Activity Recognition: A Deep Learning Approach , 2017, IEEE Transactions on Vehicular Technology.
[8] Neil D. Lawrence,et al. Deep Gaussian Processes , 2012, AISTATS.
[9] Wolfram Burgard,et al. Improving RFID-based indoor positioning accuracy using Gaussian processes , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.
[10] Jie Xiong,et al. mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking , 2018, MobiCom.
[11] Shiwen Mao,et al. CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach , 2016, IEEE Internet of Things Journal.
[12] Xiangyu Wang,et al. CiFi: Deep convolutional neural networks for indoor localization with 5 GHz Wi-Fi , 2017, 2017 IEEE International Conference on Communications (ICC).
[13] Zifan Liu,et al. HyperEar: Indoor Remote Object Finding with a Single Phone , 2019, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).
[14] Evgueni A. Haroutunian,et al. Information Theory and Statistics , 2011, International Encyclopedia of Statistical Science.
[15] Paramvir Bahl,et al. RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).
[16] Lei Yang,et al. Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices , 2014, MobiCom.
[17] Moustafa Youssef,et al. The Horus WLAN location determination system , 2005, MobiSys '05.
[18] Shiwen Mao,et al. DeepFi: Deep learning for indoor fingerprinting using channel state information , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).
[19] Anton Schwaighofer,et al. GPPS: A Gaussian Process Positioning System for Cellular Networks , 2003, NIPS.
[20] Shueng-Han Gary Chan,et al. Towards Crowdsourced Signal Map Construction via Implicit Interaction of IoT Devices , 2017, 2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
[21] Gints Jēkabsons,et al. Refining WI-FI Based Indoor Positioning , 2010 .
[22] Shiwen Mao,et al. DeepML: Deep LSTM for Indoor Localization with Smartphone Magnetic and Light Sensors , 2018, 2018 IEEE International Conference on Communications (ICC).
[23] Xue Liu,et al. Taming the inconsistency of Wi-Fi fingerprints for device-free passive indoor localization , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.
[24] Justin Patton,et al. BFVP: A Probabilistic UHF RFID Tag Localization Algorithm Using Bayesian Filter and a Variable Power RFID Model , 2018, IEEE Transactions on Industrial Electronics.
[25] Hao Jiang,et al. WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation , 2017, IEEE Transactions on Wireless Communications.
[26] Jian Zhang,et al. DeepMap: Deep Gaussian Process for Indoor Radio Map Construction and Location Estimation , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).
[27] Xiaohua Tian,et al. Gaussian process based radio map construction for LTE localization , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).
[28] Moustafa Youssef,et al. WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning , 2019, 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom.
[29] Shiwen Mao,et al. RFHUI: an RFID based human-unmanned aerial vehicle interaction system in an indoor environment , 2020, Digit. Commun. Networks.
[30] Shiwen Mao,et al. CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach , 2016, IEEE Transactions on Vehicular Technology.
[31] Haiyong Luo,et al. Indoor Positioning Based on Fingerprint-Image and Deep Learning , 2018, IEEE Access.
[32] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[33] Chao Yang,et al. SparseTag: High-Precision Backscatter Indoor Localization with Sparse RFID Tag Arrays , 2019, 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
[34] Moe Z. Win,et al. A Machine Learning Approach to Ranging Error Mitigation for UWB Localization , 2012, IEEE Transactions on Communications.
[35] Prathima Agrawal,et al. CA2T: Cooperative Antenna Arrays Technique for Pinpoint Indoor Localization , 2014, FNC/MobiSPC.
[36] Xiangyu Wang,et al. Deep Convolutional Neural Networks for Indoor Localization with CSI Images , 2020, IEEE Transactions on Network Science and Engineering.
[37] Felix Duvallet,et al. WiFi position estimation in industrial environments using Gaussian processes , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[38] Neil D. Lawrence,et al. Bayesian Gaussian Process Latent Variable Model , 2010, AISTATS.
[39] Tom Minka,et al. You are facing the Mona Lisa: spot localization using PHY layer information , 2012, MobiSys '12.
[40] Shiwen Mao,et al. PhaseFi: Phase Fingerprinting for Indoor Localization with a Deep Learning Approach , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).
[41] Jing Liu,et al. Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[42] Agathoniki Trigoni,et al. Gaussian Process Regression for Fingerprinting based Localization , 2016, Ad Hoc Networks.