박사

Indoor Positioning System with Online Calibration of Wi-Fi Radio Maps = 전파 지도의 온라인 교정을 이용한 실내 측위 시스템

논문상세정보
' Indoor Positioning System with Online Calibration of Wi-Fi Radio Maps = 전파 지도의 온라인 교정을 이용한 실내 측위 시스템' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 일반 연속간행물
  • Wi-Fi Fingerprinting
  • indoorpositioningsystems
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,094 0

0.0%

' Indoor Positioning System with Online Calibration of Wi-Fi Radio Maps = 전파 지도의 온라인 교정을 이용한 실내 측위 시스템' 의 참고문헌

  • \Series, p. Propagation Data and Prediction Methods for the Planning of In- door Radio Communication Systems and the Radio Local Area Networks in the Frequency Range 900 MHz to 100 GHz; recommendations itu-r(2012):1238-7."
  • \A python implementation of chan's tdoa algorithm for ultrasonic positioning and tracking. stock, v2-lab rotterdam." http://trac.v2.nl/export/6400/andres/ Documentation/TDOA/Ultrasonic Tracking.pdf. Accessed: 2017-04-15.
  • Z.-A. Deng, Y. Hu, J. Yu, and Z. Na, \Extended kalman lter for real time indoor localization by fusing wi and smartphone inertial sensors," Microma- chines, vol. 6, no. 4, pp. 523{543, 2015.
  • Z. Farid, R. Nordin, and M. Ismail, \Recent advances in wireless indoor localization techniques and system," Journal of Computer Networks and Commu- nications, vol. 2013, 2013.
  • Z. Chen, H. Zou, H. Jiang, Q. Zhu, Y. C. Soh, and L. Xie, \Fusion of wi , smartphone sensors and landmarks using the kalman lter for indoor localization," Sensors, vol. 15, no. 1, pp. 715{732, 2015.
  • Y.-T. Chan and K. Ho, \A simple and ecient estimator for hyperbolic location," IEEE Transactions on signal processing, vol. 42, no. 8, pp. 1905{1915, 1994.
  • Y. Shu, Y. Huang, J. Zhang, P. Coue, P. Cheng, J. Chen, and K. G. Shin, \Gradient-based ngerprinting for indoor localization and tracking," IEEE Transactions on Industrial Electronics, vol. 63, pp. 2424{2433, April 2016.
  • Y. Gwon and R. Jain, \Error characteristics and calibration-free techniques for wireless lan-based location estimation," in Proceedings of the second interna- tional workshop on Mobility management & wireless access protocols, pp. 2{9, ACM, 2004.
  • Y. Chen, D. Lymberopoulos, J. Liu, and B. Priyantha, \Fm-based indoor localization," in Proceedings of the 10th international conference on Mobile systems, applications, and services, pp. 169{182, ACM, 2012.
  • X. Yu, J. Wang, and H. Lu, \Single led-based indoor positioning system using multiple photodetectors," IEEE Photonics Journal, vol. 10, no. 6, pp. 1{8, 2018.
  • X. Li, Y.Wang, and K. Khoshelham, \Comparative analysis of robust extended kalman lter and incremental smoothing for uwb/pdr fusion positioning in nlos environments," Acta Geodaetica et Geophysica, vol. 54, no. 2, pp. 157{179, 2019.
  • W. W. Li, R. A. Iltis, and M. Z. Win, \A smartphone localization algorithm using rssi and inertial sensor measurement fusion," in 2013 IEEE Global Com- munications Conference (GLOBECOM), pp. 3335{3340, Dec 2013.
  • S. Yang, P. Dessai, M. Verma, and M. Gerla, \Freeloc: Calibration-free crowdsourced indoor localization," in INFOCOM, 2013 Proceedings IEEE, pp. 2481{ 2489, IEEE, 2013.
  • S. Y. Seidel and T. S. Rappaport, \914 mhz path loss prediction models for indoor wireless communications in multi oored buildings," IEEE transactions on Antennas and Propagation, vol. 40, no. 2, pp. 207{217, 1992.
  • S. Seol, E.-K. Lee, and W. Kim, \Indoor mobile object tracking using r d," Future Generation Computer Systems, vol. 76, pp. 443{451, 2017.
  • S. Se, D. G. Lowe, and J. J. Little, \Vision-based global localization and mapping for mobile robots," IEEE Transactions on robotics, vol. 21, no. 3, pp. 364{ 375, 2005.
  • S. Reynaud, Y. Cocheril, R. Vauzelle, C. Gui aut, and A. Reineix, \Hybrid fdtd/utd indoor channel modeling. application to wi transmission systems," in IEEE Vehicular Technology Conference, pp. 1{5, IEEE, 2006.
  • S. P. Venkatraman and C. H. Aldana, \Combined ne timing measurement (ftm) and non-ftm messaging for position determination," Dec. 28 2017. US Patent App. 15/189,501.
  • S. Lee, J. Kim, and N. Moon, \Random forest and wi ngerprint-based indoor location recognition system using smart watch," Human-centric Computing and Information Sciences, vol. 9, p. 6, Feb 2019.
  • S. Knauth, A. A. B. Ortega, H. Dastageeri, T. Griese, and Y. Tran, \Towards smart watch position estimation employing rssi based probability maps," BW- CAR| SINCOM, p. 75, 2014.
  • S. Hilsenbeck, D. Bobkov, G. Schroth, R. Huitl, and E. Steinbach, \Graphbased data fusion of pedometer and wi measurements for mobile indoor positioning," in Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing, pp. 147{158, ACM, 2014.
  • S. He and K. G. Shin, \Geomagnetism for smartphone-based indoor localization: challenges, advances, and comparisons," ACM Computing Surveys (CSUR), vol. 50, no. 6, p. 97, 2018.
  • S. Feldmann, K. Kyamakya, A. Zapater, and Z. Lue, \An indoor bluetoothbased positioning system: Concept, implementation and experimental evaluation.," in International Conference on Wireless Networks, vol. 272, 2003.
  • R. Mautz, \Overview of current indoor positioning systems," Geodezija ir kar- togra ja, vol. 35, no. 1, pp. 18{22, 2009.
  • R. F. Brena, J. P. Garca-Vazquez, C. E. Galvan-Tejada, D. Mu~noz-Rodriguez, C. Vargas-Rosales, and J. Fangmeyer, \Evolution of indoor positioning technologies: A survey," Journal of Sensors, vol. 2017, 2017.
  • R. A. Valenzuela, O. Landron, and D. Jacobs, \Estimating local mean signal strength of indoor multipath propagation," IEEE transactions on vehicular technology, vol. 46, no. 1, pp. 203{212, 1997.
  • Q. Chang, Q. Li, Z. Shi, W. Chen, and W. Wang, \Scalable indoor localization via mobile crowdsourcing and gaussian process," Sensors, vol. 16, no. 3, p. 381, 2016.
  • P. Hedman, T. Karras, and J. Lehtinen, \Sequential monte carlo instant radios- ity," IEEE transactions on visualization and computer graphics, vol. 23, no. 5, pp. 1442{1453, 2017.
  • P. Bahl and V. N. Padmanabhan, \Radar: An in-building rf-based user location and tracking system," in INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, vol. 2, pp. 775{784, IEEE, 2000.
  • M.-S. Choi and B. Jang, \An accurate ngerprinting based indoor positioning algorithm," International Journal of Applied Engineering Research, vol. 12, no. 1, pp. 86{90, 2017.
  • M. Yoshino, S. Haruyama, and M. Nakagawa, \High-accuracy positioning system using visible led lights and image sensor," in Radio and Wireless Sympo- sium, 2008 IEEE, pp. 439{442, IEEE, 2008.
  • M. Yassin and E. Rachid, \A survey of positioning techniques and location based services in wireless networks," in 2015 IEEE International Confer- ence on Signal Processing, Informatics, Communication and Energy Systems (SPICES), pp. 1{5, IEEE, 2015.
  • M. U. Ali, S. Hur, and Y. Park, \Locali: calibration-free systematic localization approach for indoor positioning," Sensors, vol. 17, no. 6, p. 1213, 2017.
  • M. U. Ali, S. Hur, S. Park, and Y. Park, \Harvesting indoor positioning accuracy by exploring multiple features from received signal strength vector," IEEE Access, vol. 7, pp. 52110{52121, 2019.
  • M. R. Mahfouz, C. Zhang, B. C. Merkl, M. J. Kuhn, and A. E. Fathy, \Investigation of high-accuracy indoor 3-d positioning using uwb technology," IEEE Transactions on Microwave Theory and Techniques, vol. 56, no. 6, pp. 1316{ 1330, 2008.
  • M. N. Husen and S. Lee, \Indoor location sensing with invariant wi- received signal strength ngerprinting," Sensors, vol. 16, no. 11, p. 1898, 2016.
  • M. Ficco, C. Esposito, and A. Napolitano, \Calibrating indoor positioning systems with low e orts," IEEE Transactions on Mobile Computing, vol. 13, pp. 737{751, April 2014.
  • M. F. Cohen, D. P. Greenberg, D. S. Immel, and P. J. Brock, \An ecient radiosity approach for realistic image synthesis," IEEE Computer graphics and Applications, vol. 6, no. 3, pp. 26{35, 1986.
  • M. Dakkak, A. Nakib, B. Daachi, P. Siarry, and J. Lemoine, \Indoor localization method based on rtt and aoa using coordinates clustering," Computer networks, vol. 55, no. 8, pp. 1794{1803, 2011.
  • M. Clerc and J. Kennedy, \The particle swarm-explosion, stability, and convergence in a multidimensional complex space," IEEE transactions on Evolution- ary Computation, vol. 6, no. 1, pp. 58{73, 2002.
  • M. Ayadi, N. Torjemen, and S. Tabbane, \Two-dimensional deterministic propagation models approach and comparison with calibrated empirical models.," IEEE Trans. Wireless Communications, vol. 14, no. 10, pp. 5714{5722, 2015.
  • M. A. Cheema, \Indoor location-based services: Challenges and opportunities," SIGSPATIAL Special, vol. 10, no. 2, pp. 10{17, 2018.
  • L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil, \Landmarc: indoor location sensing using active r d," in Pervasive Computing and Communications, 2003.(PerCom 2003). Proceedings of the First IEEE International Conference on, pp. 407{415, IEEE, 2003.
  • L. Bruno, P. Addesso, and R. Restaino, \Indoor positioning in wireless local area networks with online path-loss parameter estimation," The Scienti c World Journal, vol. 2014, 2014.
  • L. Banin, U. Schatzberg, and Y. Amizur, \Wi ftm and map information fusion for accurate positioning," in 2016 International Conference on Indoor Position- ing and Indoor Navigation (IPIN), 2016.
  • K.-W. Cheung, J.-M. Sau, and R. D. Murch, \A new empirical model for indoor propagation prediction," IEEE transactions on Vehicular Technology, vol. 47, no. 3, pp. 996{1001, 1998.
  • K.-U. Song, D.-K. Jung, J.-S. Choi, H.-S. Shin, K.-W. Lee, S.-B. Park, and J.-G. Shim, \System and method for indoor positioning using led lighting," July 21 2011. US Patent App. 13/008,455.
  • K. Wu, J. Xiao, Y. Yi, D. Chen, X. Luo, and L. M. Ni, \Csi-based indoor localization," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 7, pp. 1300{1309, 2012.
  • K. Witrisal, S. Hinteregger, J. Kulmer, E. Leitinger, and P. Meissner, \Highaccuracy positioning for indoor applications: R d, uwb, 5g, and beyond," in 2016 IEEE International Conference on RFID (RFID), pp. 1{7, May 2016.
  • K. Romer, P. Blum, and L. Meier, \Time synchronization and calibration in wireless sensor networks," Handbook of sensor networks: Algorithms and archi- tectures, pp. 199{237, 2005.
  • K. Khoshelham and S. Zlatanova, \Sensors for indoor mapping and navigation," Sensors, vol. 16, no. 5, 2016.
  • K. Kaemarungsi and P. Krishnamurthy, \Modeling of indoor positioning systems based on location ngerprinting," in IEEE INFOCOM 2004, vol. 2, pp. 1012{1022, IEEE, 2004.
  • K. Chintalapudi, A. Padmanabha Iyer, and V. N. Padmanabhan, \Indoor localization without the pain," in Proceedings of the sixteenth annual international conference on Mobile computing and networking, pp. 173{184, ACM, 2010.
  • J.-g. Park, B. Charrow, D. Curtis, J. Battat, E. Minkov, J. Hicks, S. Teller, and J. Ledlie, \Growing an organic indoor location system," in Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, MobiSys '10, (New York, NY, USA), pp. 271{284, ACM, 2010.
  • J. Torres-Sospedra,  O. Belmonte-Fernandez, G. M. Mendoza-Silva, R. Montoliu, A. Puertas-Cabedo, L. E. Rodrguez-Pupo, S. Trilles, A. Calia, M. Benedito-Bordonau, and J. Huerta, \Lessons learned in generating ground truth for indoor positioning systems based on wi- ngerprinting," in Geo- graphical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation, pp. 45{67, Elsevier, 2019.
  • J. Machaj, P. Brida, and R. Piche, \Rank based ngerprinting algorithm for indoor positioning," in Indoor Positioning and Indoor Navigation (IPIN), 2011 International Conference on, pp. 1{6, IEEE, 2011.
  • J. M. Santos, D. Portugal, and R. P. Rocha, \An evaluation of 2d slam techniques available in robot operating system," in Safety, Security, and Rescue Robotics (SSRR), 2013 IEEE International Symposium on, pp. 1{6, IEEE, 2013.
  • J. Jiao, F. Li, Z. Deng, and W. Ma, \A smartphone camera-based indoor positioning algorithm of crowded scenarios with the assistance of deep cnn," Sen- sors, vol. 17, no. 4, p. 704, 2017.
  • J. Collin, O. Mezentsev, G. Lachapelle, et al., \Indoor positioning system using accelerometry and high accuracy heading sensors," in Proc. of ION GPS/GNSS 2003 Conference, pp. 9{12, 2003.
  • I. Ashraf, S. Hur, and Y. Park, \Magio: Magnetic eld strength based indooroutdoor detection with a commercial smartphone," Micromachines, vol. 9, no. 10, p. 534, 2018.
  • H. Wang, S. Sen, A. Elgohary, M. Farid, M. Youssef, and R. R. Choudhury, \No need to war-drive: Unsupervised indoor localization," in Proceedings of the 10th international conference on Mobile systems, applications, and services, pp. 197{210, ACM, 2012.
  • H. Wang, H. Lenz, A. Szabo, J. Bamberger, and U. D. Hanebeck, \Enhancing the map usage for indoor location-aware systems," in Human-Computer Interaction. Interaction Platforms and Techniques (J. A. Jacko, ed.), (Berlin, Heidelberg), pp. 151{160, Springer Berlin Heidelberg, 2007.
  • H. Liu, H. Darabi, P. Banerjee, and J. Liu, \Survey of wireless indoor positioning techniques and systems," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 37, no. 6, pp. 1067{1080, 2007.
  • H. Lim, L.-C. Kung, J. C. Hou, and H. Luo, \Zero-con guration indoor localization over ieee 802.11 wireless infrastructure," Wireless Networks, vol. 16, no. 2, pp. 405{420, 2010.
  • H. Hashemi, \The indoor radio propagation channel," Proceedings of the IEEE, vol. 81, no. 7, pp. 943{968, 1993.
  • H. Aly and M. Youssef, \An analysis of device-free and device-based wi - localization systems," International Journal of Ambient Computing and In- telligence (IJACI), vol. 6, no. 1, pp. 1{19, 2014.
  • G. Shen, Z. Chen, P. Zhang, T. Moscibroda, and Y. Zhang, \Walkie-markie: Indoor pathway mapping made easy," in Proceedings of the 10th USENIX con- ference on Networked Systems Design and Implementation, pp. 85{98, USENIX Association, 2013.
  • F. Zafari, A. Gkelias, and K. K. Leung, \A survey of indoor localization systems and technologies," IEEE Communications Surveys Tutorials, pp. 1{1, 2019.
  • C. di Flora, M. Ficco, S. Russo, and V. Vecchio, \Indoor and outdoor location based services for portable wireless devices," in 25th IEEE International Conference on Distributed Computing Systems Workshops, pp. 244{250, IEEE, 2005.
  • C. Zhang, K. P. Subbu, J. Luo, and J. Wu, \Groping: Geomagnetism and crowdsensing powered indoor navigation," IEEE Transactions on Mobile Com- puting, vol. 14, no. 2, pp. 387{400, 2014.
  • C. Yang and H.-R. Shao, \Wi -based indoor positioning," IEEE Communica- tions Magazine, vol. 53, no. 3, pp. 150{157, 2015.
  • C. Wu, Z. Yang, Y. Liu, and W. Xi, \Will: Wireless indoor localization without site survey," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 4, pp. 839{848, 2013.
  • B. Zhou, Q. Li, Q. Mao, W. Tu, X. Zhang, and L. Chen, \Alimc: Activity landmark-based indoor mapping via crowdsourcing," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 5, pp. 2774{2785, 2015.
  • B. Xu, G. Sun, R. Yu, and Z. Yang, \High-accuracy tdoa-based localization without time synchronization," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 8, pp. 1567{1576, 2012.
  • B. Wang, Q. Chen, L. T. Yang, and H.-C. Chao, \Indoor smartphone localization via ngerprint crowdsourcing: Challenges and approaches," IEEE Wireless Communications, vol. 23, no. 3, pp. 82{89, 2016.
  • B. Shin, J. H. Lee, T. Lee, and H. S. Kim, \Enhanced weighted k-nearest neighbor algorithm for indoor wi- positioning systems," in Computing Technology and Information Management (ICCM), 2012 8th International Conference on, vol. 2, pp. 574{577, IEEE, 2012.
  • A. Rai, K. K. Chintalapudi, V. N. Padmanabhan, and R. Sen, \Zee: Zeroe ort crowdsourcing for indoor localization," in Proceedings of the 18th annual international conference on Mobile computing and networking, pp. 293{304, ACM, 2012.
  • A. Narzullaev and Y. Park, \Novel calibration algorithm for received signal strength based indoor real-time locating systems," AEU-International Journal of Electronics and Communications, vol. 67, no. 7, pp. 637{644, 2013.
  • A. Mulloni, D. Wagner, I. Barakonyi, and D. Schmalstieg, \Indoor positioning and navigation with camera phones," IEEE Pervasive Computing, no. 2, pp. 22{ 31, 2009.
  • A. M. Hossain and W.-S. Soh, \A survey of calibration-free indoor positioning systems," Computer Communications, vol. 66, pp. 1{13, 2015.
  • A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, T. Sohn, J. Howard, J. Hughes, F. Potter, et al., \Place lab: Device positioning using radio beacons in the wild," in International Conference on Pervasive Computing, pp. 116{133, Springer, 2005.
  • A. Correa, M. Barcelo, A. Morell, and J. Vicario, \A review of pedestrian indoor positioning systems for mass market applications," Sensors, vol. 17, no. 8, p. 1927, 2017.
  • A. Bose and C. H. Foh, \A practical path loss model for indoor wi positioning enhancement," in Information, Communications & Signal Processing, 2007 6th International Conference on, pp. 1{5, IEEE, 2007.