Nakajima Madoka

写真a

Affiliation

Graduate School of System Design and Management (Hiyoshi)

Position

Project Professor (Non-tenured)

Academic Degrees 【 Display / hide

  • システムエンジニアリング, Keio University, Coursework, 2013.09

    グラスルーツ屋内地図データ作成手法の提案および音声経路案内への適用

 

Research Areas 【 Display / hide

  • Multimedia database

  • Design science

  • Geography

 

Papers 【 Display / hide

  • Rapid BLE Beacon Localization with Range-Only EKF-SLAM Using Beacon Interval Constraint

    Sato A., Nakajima M., Kohtake N.

    2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019 (2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019)   2019.09

    ISSN  9781728117881

     View Summary

    © 2019 IEEE. The installation process of numerous Bluetooth Low Energy (BLE) beacons in the indoor positioning environment usually requires the manual measurement of the beacon's physical coordinates which tends to be a labor-intensive process. In this work, we aim to create a BLE beacon map by obtaining their coordinates from in situ Received Signal Strength (RSS) observations on a smartphone in a short period of time. This paper proposes a method of automatic localization for twin BLE beacons based on Range-Only Simultaneous Localization and Mapping (RO-SLAM) approach and multi-hypothesis Extended Kalman Filter (EKF), on the condition that only the relative distance of twin beacons is known. In this method, a person holding a smartphone collects RSS of BLE beacons by walking around with no requirement of predefined trajectory. Normally, the lack of angular information on the sensor involves the difficulty of finding a good initial value of the state vector in the EKF, that requires substantial time to evolve the estimation enough. In our proposed method, tracking the multiple hypotheses which represent the probability distribution of possible locations of the BLE beacon and smartphone makes the results obtainable in a brief RSS survey. The hypotheses generation process employs the interval information of twin BLE beacons to reduce the number of hypotheses and consequently the computational load. The experimental evaluation using commercial off-the-shelf devices show that the proposed method offers a significant improvement in the time required to evolve the location estimation, while the use of twin BLE beacons can suppress the total number of hypotheses.

Papers, etc., Registered in KOARA 【 Display / hide

Awards 【 Display / hide

  • 令和元年日本スポーツ産業学会賞

    2020.07, 日本スポーツ産業学会, GNSSを利用したスポーツデータ分析フレームワーク

    Type of Award: Celebration by Official journal of a scientific society or Academic Journal

  • 優秀講演論文賞 技術と社会部門

    2012.09, 日本機械学会

 

Courses Taught 【 Display / hide

  • PRACTICE OF SYSTEM DESIGN AND MANAGEMENT

    2021

  • PRACTICE OF SYSTEM DESIGN AND MANAGEMENT

    2020

  • PRACTICE OF SYSTEM DESIGN AND MANAGEMENT

    2019

 

Memberships in Academic Societies 【 Display / hide

  • Japan Cartographers Association, 

    2006.04
    -
    Present
  • Information Processing Society of Japan, 

    1998.04
    -
    Present
  • GIS Association of Japan, 

    1997.04
    -
    Present

Committee Experiences 【 Display / hide

  • 2015.04
    -
    Present

    常任委員, 日本地図学会

  • 2007.04
    -
    Present

    GIS資格認定協会 資格認定委員, 地理情報システム学会