박사

A PDR-Based 3D indoor localization system with landmarks detection

논문상세정보
' A PDR-Based 3D indoor localization system with landmarks detection' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • inertial sensor
  • landmarks
  • pdr
  • smartphone
  • smartphone holding styles
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
687 0

0.0%

' A PDR-Based 3D indoor localization system with landmarks detection' 의 참고문헌

  • Z.-A. Deng, G. Wang, D. Qin, Z. Na, Y. Cui, and J. Chen, "Continuous Indoor Positioning Fusing WiFi, Smartphone Sensors and Landmarks," Sensors, vol. 16, 2016, pp. 1-20.
  • Z. Chen, H. Zou, H. Jiang, Q. Zhu, C. Y. Soh, and L. Xie, "Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization," Sensors, vol. 15, 2015, pp. 715-732.
  • Y. Zhuang, H. Lan, Y. Li, and N. El-Sheimy, "PDR/INS/WiFi Integration Based on Handheld Devices for Indoor Pedestrian Navigation," Micromachines, vol. 6, 2015, pp. 793-812.
  • Y. Zhao, C. Qian, L. Gong, Z. Li, and Y. Liu, "LMDD: Light-Weight Magnetic-Based Door Detection with Your Smartphone," in Proceeding of the 44th International Conference on Parallel Processing, 2015, pp. 919-928.
  • Y. Yingbiao, B. Qiaojing, H. Qi, Y. Ruili, X. Xiaorong, and Y. Junrong, "BtPDR: Bluetooth and PDR-Based Indoor Fusion Localization Using Smartphones," KSII Transactions on Internet and Information Systems, vol. 12, 2018, pp. 3657-3682.
  • Y. Shu, C. Bo, G. Shen, C. Zhao, L. Li, and F. Zhao, "Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing," IEEE Journal on Selected Areas in Communications, vol. 33, 2015, pp. 1443-1457.
  • Y. Li, Y. Zhuang, P. Zhang, H. Lan, X. Niu, and N. El-Sheimy, "An improved inertial/wifi/magnetic fusion structure for indoor navigation," Information Fusion, vol. 34, 2017, pp. 101-119.
  • X. Wang, M. Jiang, Z. Guo, N. Hu, Z. Sun, and J. Liu, "An Indoor Positioning Method for Smartphones Using Landmarks and PDR," Sensors (Basel, Switzerland), vol. 16, 2016, pp. 1-17.
  • X. Li, J. Wang, and C. Liu, "A Bluetooth/PDR Integration Algorithm for an Indoor Positioning System," Sensors, vol. 15, 2015, pp. 24862–24885.
  • X. Li, J. Wang, C. Liu, L. Zhang, and Z. Li, "Integrated WiFi/PDR/Smartphone Using an Adaptive System Noise Extended Kalman Filter Algorithm for Indoor Localization," ISPRS International Journal of Geo-Information, vol. 5, 2016, pp. 1-19.
  • X. Li, D. Wei, Q. Lai, Y. Xu, and H. Yuan, "Smartphone-based integrated PDR/GPS/Bluetooth pedestrian location," Advances in Space Research, vol. 59, 2017, pp. 1-25.
  • X. Guo, W. Shao, F. Zhao, Q. Wang, D. Li, and H. Luo, "WiMag: Multimode Fusion Localization System based on Magnetic/WiFi/PDR," in Proceeding of 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016, pp. 1-8.
  • W. Shih, L. Chen, and K. Lan, "Estimating Walking Distance with a Smart Phone," in Proceeding of The Fifth International Symposium on Parallel Architectures, Algorithms and Programming, 2012, pp. 166-171.
  • W. Kang and Y. Han, "SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization," IEEE Sensors Journal, vol. 15, 2015, pp. 2906-2916.
  • W. Huang, Y. Xiong, X. Y. Li, H. Lin, X. Mao, P. Yang, et al., "Shake and walk: Acoustic direction finding and fine-grained indoor localization using smartphones," in Proceeding of IEEE INFOCOM 2014 - IEEE Conference on Computer Communications, 2014, pp. 370-378.
  • S.-W. Lee, P. Jung, and S.-H. Song, "Hybrid Indoor Location Tracking for Pedestrian Using a Smartphone," in Proceeding of The 1st International Conference on Robot Intelligence Technology and Applications, J.-H. Kim, E. T. Matson, H. Myung, and P. Xu, Eds., ed Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 431-440.
  • S. Young Soo and S. Park, "Pedestrian inertial navigation with gait phase detection assisted zero velocity updating," in Proceeding of the 4th International Conference on Autonomous Robots and Agents, 2000, pp. 336-341.
  • S. Yoon, K. Lee, and I. Rhee, "FM-based indoor localization via automatic fingerprint DB construction and matching," in Proceeding of the 11th International Conference on Mobile systems, applications, and services, 2013, pp. 207-220.
  • S. Liu, Y. Jiang, and A. Striegel, "Face-to-Face Proximity EstimationUsing Bluetooth On Smartphones," IEEE Transactions on Mobile Computing, vol. 13, 2014, pp. 811-823.
  • S. He and K. G. Shin, "Geomagnetism for Smartphone-Based Indoor Localization: Challenges, Advances, and Comparisons," ACM Comput. Surv., vol. 50, 2017, pp. 1-37.
  • S. H. Shin, M. S. Lee, C. G. Park, and H. S. Hong, "Pedestrian dead reckoning system with phone location awareness algorithm," in Proceeding of IEEE/ION Position, Location and Navigation Symposium, 2010, pp. 97-101.
  • S. H. Shin, C. G. Park, J. W. Kim, H. S. Hong, and J. M. Lee, "Adaptive Step Length Estimation Algorithm Using Low-Cost MEMS Inertial Sensors," in Proceeding of 2007 IEEE Sensors Applications Symposium, 2007, pp. 1-5.
  • R. Harle, "A Survey of Indoor Inertial Positioning Systems for Pedestrians," IEEE Communications Surveys & Tutorials, 2013, pp. 1281-1293.
  • Q. Wang, H. Luo, F. Zhao, and W. Shao, "An indoor self-localization algorithm using the calibration of the online magnetic fingerprints and indoor landmarks," in Proceeding of 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016, pp. 1-8.
  • Q. Tian, Z. Salcic, K. I. K. Wang, and Y. Pan, "A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones," IEEE Sensors Journal, vol. 16, 2016, pp. 2079-2093.
  • P. Lawitzki. Android Sensor Fusion Tutorial. Available: http://plaw.info/articles/sensorfusion/#articles (Accessed on 20/11/2018)
  • P. Bissig, R. Wattenhofer, and S. Welten, "A pocket guide to indoor mapping," in Proceeding of the 10th Workshop on Positioning, Navigation and Communication (WPNC), 2013, pp. 1-6.
  • P. Bahl and V. N. Padmanabhan, "RADAR: an in-building RF-based user location and tracking system," in Proceeding of IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, 2000, pp. 775-784.
  • N.-H. Ho, P. Truong, and G.-M. Jeong, "Step-Detection and Adaptive Step-Length Estimation for Pedestrian Dead-Reckoning at Various Walking Speeds Using a Smartphone," Sensors, vol. 16, 2016, pp. 1-13.
  • N. Roy, H. Wang, and R. R. Choudhury, "I am a smartphone and I can tell my user's walking direction," in Proceeding of the 12th annual international conference on Mobile systems, applications, and services, 2014, pp. 329-342.
  • M. S. Lee, H. Ju, J. W. Song, and C. G. Park, "Kinematic Model-Based Pedestrian Dead Reckoning for Heading Correction and Lower Body Motion Tracking," Sensors (Basel, Switzerland), vol. 15, 2015, pp. 28129-28153.
  • M. Ortiz, M. De Sousa, and V. Renaudin, "A New PDR Navigation Device for Challenging Urban Environments," Journal of Sensors, 2017, pp. 1-11.
  • M. Elhoushi, J. Georgy, A. Noureldin, and M. J. Korenberg, "Motion Mode Recognition for Indoor Pedestrian Navigation Using Portable Devices," IEEE Transactions on Instrumentation and Measurement, vol. 65, 2016, pp. 208-221.
  • M. El-Diasty, "An Accurate Heading Solution using MEMS-based Gyroscope and Magnetometer Integrated System (Preliminary Results)," ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., vol. II-2, 2014, pp. 75-78.
  • L. Seon-Woo and K. Mase, "Activity and location recognition using wearable sensors," IEEE Pervasive Computing, vol. 1, 2002, pp. 24-32.
  • L. Pei, J. Liu, R. Guinness, Y. Chen, H. Kuusniemi, and R. Chen, "Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning," Sensors, vol. 12, 2012, pp. 1-21.
  • K. Park, H. Shin, and H. Cha, "Smartphone-based pedestrian tracking in indoor corridor environments," Personal and Ubiquitous Computing, vol. 17, 2013, pp. 359-370.
  • K. Crosby. How to Measure Stride or Step Length for your Pedometer. Available: https://www.walkingwithattitude.com/articles/features/how-to-measure-stride-or-steplength- for-your-pedometer (Accessed on 20/11/2018)
  • J.-K. Liao, K.-W. Chiang, and Z.-M. Zhou, "The Performance Analysis of Smartphone- Based Pedestrian Dead Reckoning and Wireless Locating Technology for Indoor Navigation Application," Inventions, vol. 1, 2016, pp. 1-19.
  • J. Saarinen, J. Suomela, S. Heikkila, M. Elomaa, and A. Halme, "Personal navigation system," in Proceeding of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004, pp. 212-217.
  • J. Rose and J. G. Gamble, Human walking, 3rd ed.: Philadelphia: Lippincott Williams & Wilkins, 2006.
  • J. Hightower and G. Borriello, "Location systems for ubiquitous computing," Computer, vol. 34, 2001, pp. 57-66.
  • J. E. A. Bertram and A. Ruina, "Multiple Walking Speed–frequency Relations are Predicted by Constrained Optimization," Journal of Theoretical Biology, vol. 209, 2001, pp. 445-453.
  • H. Zhang, W. Yuan, Q. Shen, T. Li, and H. Chang, "A Handheld Inertial Pedestrian Navigation System With Accurate Step Modes and Device Poses Recognition," IEEE Sensors Journal, vol. 15, 2015, pp. 1421-1429.
  • H. Xie, T. Gu, X. Tao, H. Ye, and J. Lu, "A Reliability-Augmented Particle Filter for Magnetic Fingerprinting Based Indoor Localization on Smartphone," IEEE Transactions on Mobile Computing, vol. 15, 2016, pp. 1877-1892.
  • H. Weinberg, "Using the ADXL202 in Pedometer and Personal Navigation Applications," Analog Devices Inc.: Norwood, MA, USA, 2002, pp. 1–6.
  • 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, 2012, pp. 197-210.
  • 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, 2007, pp. 1067-1080.
  • H. Ju, S. Y. Park, and C. G. Park, "A Smartphone-Based Pedestrian Dead Reckoning System With Multiple Virtual Tracking for Indoor Navigation," IEEE Sensors Journal, vol. 18, 2018, pp. 6756-6764.
  • G. Chen, X. Meng, Y. Wang, Y. Zhang, P. Tian, and H. Yang, "Integrated WiFi/PDR/Smartphone Using an Unscented Kalman Filter Algorithm for 3D Indoor Localization," Sensors, vol. 15, 2015, pp. 24595–24614.
  • Fitbit. Available: http://www.fibit.com/ (Accessed on 20/11/2018)
  • F. Zhao, H. Luo, X. Zhao, Z. Pang, and H. Park, "HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure," IEEE Transactions on Industrial Informatics, vol. 13, 2017, pp. 330-341.
  • F. Zampella, A. R. J. R, and F. Seco, "Robust indoor positioning fusing PDR and RF technologies: The RFID and UWB case," in Proceeding of International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2013, pp. 1-10.
  • F. T. Alaoui, V. Renaudin, and D. Betaille, "Points of interest detection for map-aided PDR in combined outdoor-indoor spaces," in Proceeding of 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017, pp. 1-8.
  • F. T. Alaoui, D. Betaille, and V. Renaudin, "A multi-hypothesis particle filtering approach for pedestrian dead reckoning," in Proceeding of 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016, pp. 1-8.
  • F. Seco and R. A. Jim nez, "Smartphone-Based Cooperative Indoor Localization with RFID Technology," Sensors, vol. 18, 2018, pp. 1-23.
  • F. Li, C. Zhao, G. Ding, J. Gong, C. Liu, and F. Zhao, "A reliable and accurate indoor localization method using phone inertial sensors," in Proceeding of the 2012 ACM Conference on Ubiquitous Computing, 2012, pp. 421-430.
  • F. Lei, P. J. Antsaklis, L. A. Montestruque, M. B. McMickell, M. Lemmon, S. Yashan, et al., "Design of a wireless assisted pedestrian dead reckoning system - the NavMote experience," IEEE Transactions on Instrumentation and Measurement, vol. 54, 2005, pp. 2342-2358.
  • F. Cavallo, A. M. Sabatini, and V. Genovese, "A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing," in Proceeding of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005, pp. 1187-1191.
  • F. Alsehly, T. Arslan, and Z. Sevak, "Indoor positioning with floor determination in multi story buildings," in Proceeding of 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2011, pp. 1-7.
  • E. Foxlin, "Pedestrian tracking with shoe-mounted inertial sensors," IEEE Computer Graphics and Applications, vol. 25, 2005, pp. 38-46.
  • D. Picchietti and J. W. Winkelman, "Restless legs syndrome, periodic limb movements in sleep, and depression," Sleep, vol. 28, 2005, pp. 891-898.
  • C. Ascher, C. Kessler, M. Wankerl, and G. F. Trommer, "Dual IMU Indoor Navigation with particle filter based map-matching on a smartphone," in Proceeding of 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010, pp. 1-5.
  • B. Zhou, Q. Li, Q. Mao, W. Tu, and X. Zhang, "Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones," IEEE Transactions on Human-Machine Systems, 2015, pp. 562-574.
  • B. Shin, C. Kim, J. Kim, S. Lee, C. Kee, H. S. Kim, et al., "Motion Recognition-Based 3D Pedestrian Navigation System Using Smartphone," IEEE Sensors Journal, vol. 16, 2016, pp. 6977-6989.
  • B. Koo, "Periodic Limb Movements during Sleep:Review of Physiology and Pathology," J Korean Sleep Res Soc, vol. 9, 2012, pp. 23-27.
  • A. Varshavsky, A. LaMarca, J. Hightower, and E. d. Lara, "The SkyLoc Floor Localization System," in Proceeding of the Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07), 2007, pp. 125-134.
  • A. Mikov, A. Moschevikin, A. Fedorov, and A. Sikora, "A localization system using inertial measurement units from wireless commercial hand-held devices," in Proceeding of International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2013, pp. 1-7.