AutLoc: Deep Autoencoder for Indoor Localization with RSS Fingerprinting
暂无分享,去创建一个
Xiaohu You | Jing Liu | Nan Liu | Zhiwen Pan | Nan Liu | X. You | Jing Liu | Zhiwen Pan
[1] Shueng-Han Gary Chan,et al. Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons , 2016, IEEE Communications Surveys & Tutorials.
[2] Zhenzhong Chen,et al. 3-D BLE Indoor Localization Based on Denoising Autoencoder , 2017, IEEE Access.
[3] Xiao Zhang,et al. Device-Free Wireless Localization and Activity Recognition: A Deep Learning Approach , 2017, IEEE Transactions on Vehicular Technology.
[4] Sanghyuk Lee,et al. Large-scale location-aware services in access: Hierarchical building/floor classification and location estimation using Wi-Fi fingerprinting based on deep neural networks , 2017 .
[5] A. V. Olgac,et al. Performance Analysis of Various Activation Functions in Generalized MLP Architectures of Neural Networks , 2011 .
[6] Jinbao Zhang,et al. Overview of received signal strength based fingerprinting localization in indoor wireless LAN environments , 2013, 2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications.
[7] Maxim Shchekotov,et al. Indoor Localization Method Based on Wi-Fi Trilateration Technique , 2014 .
[8] Xinbing Wang,et al. Performance Analysis of RSS Fingerprinting Based Indoor Localization , 2017, IEEE Transactions on Mobile Computing.
[9] Prashant Krishnamurthy,et al. Analysis of WLAN's received signal strength indication for indoor location fingerprinting , 2012, Pervasive Mob. Comput..
[10] Prashant Krishnamurthy,et al. Properties of indoor received signal strength for WLAN location fingerprinting , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..
[11] Mohamed Khedr,et al. An enhanced WiFi indoor localization system based on machine learning , 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[12] 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).
[13] Jason Jianjun Gu,et al. Deep Neural Networks for wireless localization in indoor and outdoor environments , 2016, Neurocomputing.
[14] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[15] David Akopian,et al. Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges , 2016, IEEE Communications Surveys & Tutorials.
[16] Seyed Ali Ghorashi,et al. A Fingerprint Method for Indoor Localization Using Autoencoder Based Deep Extreme Learning Machine , 2018, IEEE Sensors Letters.
[17] Sinem Bozkurt Keser,et al. Integration of classification algorithms for indoor positioning system , 2017, 2017 International Conference on Computer Science and Engineering (UBMK).
[18] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[19] Yibo Yu. An Efficient Wi-Fi RSS Indoor Positioning System and Its Client-server Implementation , 2013 .
[20] Serkan Günal,et al. A comparative study on machine learning algorithms for indoor positioning , 2015, 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA).
[21] Sanghyuk Lee,et al. A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting , 2017, ArXiv.