抄録
Users require navigation for many location-based applications using moving sensors, such as autonomous robot control, mapping route navigation and mobile infrastructure inspection. In indoor environments, indoor positioning systems using GNSSs can provide seamless indoor-outdoor positioning and navigation services. However, instabilities in sensor position data acquisition remain, because the indoor environment is more complex than the outdoor environment. On the other hand, simultaneous localization and mapping processing is better than indoor positioning for measurement accuracy and sensor cost. However, it is not easy to estimate position data from a single viewpoint directly. Based on these technical issues, we focus on geofencing techniques to improve position data acquisition. In this research, we propose a methodology to estimate more stable position or location data using unstable position data based on geofencing in indoor environments. We verify our methodology through experiments in indoor environments.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 319-324 |
| ページ数 | 6 |
| ジャーナル | Unknown Journal |
| 巻 | 41 |
| DOI | |
| 出版物ステータス | Published - 2016 |
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ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development
これを引用
Geofencing-based localization for 3D data acquisition navigation. / Nakagawa, Masafumi; Kamio, T.; Yasojima, H.; Kobayashi, T.
：: Unknown Journal, 巻 41, 2016, p. 319-324.研究成果: Article
}
TY - JOUR
T1 - Geofencing-based localization for 3D data acquisition navigation
AU - Nakagawa, Masafumi
AU - Kamio, T.
AU - Yasojima, H.
AU - Kobayashi, T.
PY - 2016
Y1 - 2016
N2 - Users require navigation for many location-based applications using moving sensors, such as autonomous robot control, mapping route navigation and mobile infrastructure inspection. In indoor environments, indoor positioning systems using GNSSs can provide seamless indoor-outdoor positioning and navigation services. However, instabilities in sensor position data acquisition remain, because the indoor environment is more complex than the outdoor environment. On the other hand, simultaneous localization and mapping processing is better than indoor positioning for measurement accuracy and sensor cost. However, it is not easy to estimate position data from a single viewpoint directly. Based on these technical issues, we focus on geofencing techniques to improve position data acquisition. In this research, we propose a methodology to estimate more stable position or location data using unstable position data based on geofencing in indoor environments. We verify our methodology through experiments in indoor environments.
AB - Users require navigation for many location-based applications using moving sensors, such as autonomous robot control, mapping route navigation and mobile infrastructure inspection. In indoor environments, indoor positioning systems using GNSSs can provide seamless indoor-outdoor positioning and navigation services. However, instabilities in sensor position data acquisition remain, because the indoor environment is more complex than the outdoor environment. On the other hand, simultaneous localization and mapping processing is better than indoor positioning for measurement accuracy and sensor cost. However, it is not easy to estimate position data from a single viewpoint directly. Based on these technical issues, we focus on geofencing techniques to improve position data acquisition. In this research, we propose a methodology to estimate more stable position or location data using unstable position data based on geofencing in indoor environments. We verify our methodology through experiments in indoor environments.
KW - IBeacon
KW - Indoor mobile mapping
KW - Indoor positioning geofencing
KW - Time-of-flight camera
UR - http://www.scopus.com/inward/record.url?scp=84978035511&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978035511&partnerID=8YFLogxK
U2 - 10.5194/isprsarchives-XLI-B4-319-2016
DO - 10.5194/isprsarchives-XLI-B4-319-2016
M3 - Article
AN - SCOPUS:84978035511
VL - 41
SP - 319
EP - 324
JO - Unknown Journal
JF - Unknown Journal
ER -