Suqing Yan
- C. Zeng, S. Zhao, Y. Zhong, Z. Yuan, and X. Luo, "An Improved Method for Indoor Positioning of Wifi Based on Location Fingerprint," presented at the 2018 7th International Conference on Digital Home (ICDH), 2018.Google Scholar
- R. Faragher and R. Harle, "Location Fingerprinting With Bluetooth Low Energy Beacons," IEEE Journal on Selected Areas in Communications, vol. 33, no. 11, pp. 2418-2428, 2015.Google ScholarDigital Library
- D. Hauschildt and N. Kirchhof, "Advances in Thermal Infrared Localization: Challenges and Solutions," in International Conference on Indoor Positioning and Indoor Navigation (IPIN), Zurich, SWITZERLAND, 2010, 2010.Google Scholar
- A. Vena, I. Illanes, L. Alidieres, B. Sorli, and F. Perea, "RFID based Indoor Localization System to Analyze Visitor Behavior in a Museum," presented at the 2021 IEEE International Conference on RFID Technology and Applications (RFID-TA), 2021.Google Scholar
- J. Wang, S. Sun, Y. Ning, M. Zhang, and W. Pang, "Ultrasonic TDoA Indoor Localization Based on Piezoelectric Micromachined Ultrasonic Transducers," presented at the 2021 IEEE International Ultrasonics Symposium (IUS), 2021.Google Scholar
- H. W. Xie, T. Gu, X. P. Tao, H. B. Ye, J. Lv, and M. Assoc Comp, "MaLoc: A Practical Magnetic Fingerprinting Approach to Indoor Localization using Smartphones," in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Seattle, WA, 2014, pp. 243-253, 2014.Google Scholar
- J. Kim and H. Jun, "Vision-based location positioning using augmented reality for indoor navigation," Ieee Transactions on Consumer Electronics, vol. 54, no. 3, pp. 954-962, Aug 2008.Google ScholarDigital Library
- A. Antonucci , "Performance Analysis of a 60-GHz Radar for Indoor Positioning and Tracking," in 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2019, pp. 1-7: IEEE.Google Scholar
- Y. C. Shu, C. Bo, G. B. Shen, C. S. Zhao, L. Q. Li, and F. Zhao, "Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing," Ieee Journal on Selected Areas in Communications, vol. 33, no. 7, pp. 1443-1457, Jul 2015.Google ScholarDigital Library
- X. Y. Wang, L. J. Gao, S. W. Mao, and S. Pandey, "CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach," Ieee Transactions on Vehicular Technology, vol. 66, no. 1, pp. 763-776, Jan 2017.Google Scholar
- Y. X. Wang, Q. Ye, J. Cheng, L. Wang, and Ieee, "RSSI-based Bluetooth Indoor Localization," in 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Shenzhen, PEOPLES R CHINA, 2015, pp. 165-171, 2015.Google ScholarDigital Library
- T. Arai, T. Yoshizawa, T. Aoki, K. Zempo, Y. Okada, and Ieee, "Evaluation of Indoor Positioning System based on Attachable Infrared Beacons in Metal Shelf Environment," in IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2019, 2019.Google Scholar
- V. Perekadan, T. Mulchedee, C. Banerjee, and E. Pasiliao, "RF-MSiP: Radio Frequency Multi-source Indoor Positioning," in IEEE International Conference on Big Data (Big Data), Los Angeles, CA, 2019, pp. 5259-5268, 2019.Google Scholar
- Y. Zhang , "A Multi-DoF Ultrasonic Receiving Device for Indoor Positioning of AGV System," in 4th International Symposium on Computer, Consumer and Control (IS3C), Natl Chin Yi Univ Technol, Taichung, TAIWAN, 2018, pp. 97-100, 2018.Google Scholar
- J. Tiemann, F. Eckermann, and C. Wietfeld, "ATLAS - An Open-Source TDOA-based Ultra-Wideband Localization System," in 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016, pp. 1-6.Google Scholar
- X. H. Wang, C. C. Zhang, F. Y. Liu, Y. N. Dong, and X. L. Xu, "Exponentially Weighted Particle Filter for Simultaneous Localization and Mapping Based on Magnetic Field Measurements," Ieee Transactions on Instrumentation and Measurement, vol. 66, no. 7, pp. 1658-1667, Jul 2017.Google ScholarCross Ref
- N. Akai, K. Ozaki, and Ieee, "Gaussian Processes for Magnetic Map-Based Localization in Large-Scale Indoor Environments," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, GERMANY, 2015, pp. 4459-4464, 2015.Google ScholarDigital Library
- C. Marouane, M. Maier, S. Feld, and M. Werner, "Visual Positioning Systems - An Extension to MoVIPS," presented at the 2014 International Conference on Indoor Positioning and Indoor Navigation 2014.Google Scholar
- J. Dong, Y. Xiao, M. Noreikis, Z. Ou, and A. Ylä-Jääski, "iMoon: Using Smartphones for Image-based Indoor Navigation," presented at the Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015.Google ScholarDigital Library
- A. Quattoni, A. Torralba, and Ieee, "Recognizing Indoor Scenes," in IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops, Miami Beach, FL, 2009, pp. 413-420, 2009.Google Scholar
- W. H. Shao, H. Y. Luo, F. Zhao, Y. Ma, Z. L. Zhao, and A. Crivello, "Indoor Positioning Based on Fingerprint-Image and Deep Learning," Ieee Access, vol. 6, pp. 74699-74712, 2018.Google ScholarCross Ref
- M. Aftf, R. Ayachi, Y. Said, E. Pissaloux, and M. Atri, "Indoor Object Classification for Autonomous Navigation Assistance Based on Deep CNN Model," in 2019 IEEE International Symposium on Measurements & Networking (M&N), 2019, pp. 1-4: IEEE.Google Scholar
- F. Z. Zhuang , "A Comprehensive Survey on Transfer Learning," Proceedings of the Ieee, vol. 109, no. 1, pp. 43-76, Jan 2021.Google ScholarCross Ref
- W. Wang, Y. T. Li, T. Zou, X. Wang, J. Y. You, and Y. H. Luo, "A Novel Image Classification Approach via Dense-MobileNet Models," Mobile Information Systems, vol. 2020, Jan 2020, Art. no. 7602384.Google ScholarCross Ref
- D. M. Han, Q. G. Liu, and W. G. Fan, "A new image classification method using CNN transfer learning and web data augmentation," Expert Systems with Applications, vol. 95, pp. 43-56, Apr 2018.Google ScholarCross Ref
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