Art

J-GLOBAL ID：202002259301058710   Reference number：20A0995480

Method to Improve Accuracy of Indoor PDR Trajectories Using a Large Number of Trajectories

多数の軌道を用いた屋内PDR軌道の精度改善法

Author (5)： Yotsuya Kosuke (Graduate School of Business Administration and Computer Science, Aichi Institute of Technology) ,  Naito Katsuhiro (Graduate School of Business Administration and Computer Science, Aichi Institute of Technology) ,  Chujo Naoya (Graduate School of Business Administration and Computer Science, Aichi Institute of Technology) ,  Mizuno Tadanori (Graduate School of Business Administration and Computer Science, Aichi Institute of Technology) ,  Kaji Katsuhiko (Graduate School of Business Administration and Computer Science, Aichi Institute of Technology)
Material： Journal of Information Processing (Web)  (J Inf Proc (Web))
Volume： 28  Page： 44-54(J-STAGE)  Publication year： 2020 
JST Material Number： U0109A  ISSN： 1882-6652  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *navigation (location) ,  *pedestrian ,  *improvement ,  service ,  building construction ,  network structure ,  data fusion ,  orbit (trajectory) ,  orbit estimation ,  width ,  positioning ,  indoor positioning ,  step length
Semi thesaurus term： data integration ,  *dead reckoning ,  location-based service ,  *improvement of accuracy

Author keywords (4)： pedestrian dead reckoning (PDR) ,  data integration ,  crowd-sensing ,  building structure information

JST classification (2)： Measuring methods and instruments of length,area,cross section,volume,angle  (AD05020O) ,  Electronic navigation in general  (ND14010O)

Reference (21)：

• [1] Kamisaka, D., Muramatsu, S., Iwamoto, T. and Yokoyama, H.: Design and Implementation of Pedestrian Dead Reckoning System on a Mobile Phone, IEICE Trans. Information and Systems, Vol.94, No.6, pp.1137-1146 (2011).
• [2] Kourogi, M., Sakata, N., Okuma, T. and Kurata, T.: Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/RFID/Self-contained Sensor System, The 16th International Conference on Advances in Artificial Reality and Tele-Existence, pp.1310-1321 (2006).
• [3] Ban, R., Kaji, K., Hiroi, K. and Kawaguchi, N.: Indoor Positioning Method Integrating Pedestrian Dead Reckoning with Magnetic Field and WiFi Fingerprints, Proc. 8th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2015), pp.169-174 (2015).
• [4] Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y., Bian, K., Wang, T. and Li, X.: Jigsaw: Indoor Floor Plan Reconstruction via Mobile Crowdsensing, The 20th Annual International Conference on Mobile Computing and Networking (MobiCom2014), pp.249-260 (2014).
• [5] Jiang, Y., Yun, X., Pan, X., Li, K., Lv, Q., Dick, P.R., Shang, L. and Hannigan, M.: Hallway Based Automatic Indoor Floorplan Construction Using Room Fingerprints, The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp2013), pp.315-324 (2013).

Terms in the title (2)： 軌道 ,  屋内