TY - GEN
T1 - Implementation of low-power gnss and geomagnetics positioning on single board computer
AU - Kurita, Kouki
AU - Sanuka, Sho
AU - Nakagawa, Masafumi
N1 - Publisher Copyright:
© 2020 ACRS 2020 - 41st Asian Conference on Remote Sensing. All rights reserved.
PY - 2020
Y1 - 2020
N2 - GNSS positioning is hard to be used in indoor environments. Thus, many indoor positioning approaches have been developed, such as Wi-Fi positioning, Beacon positioning, IMES positioning, visible light positioning, and geomagnetic positioning. Moreover, indoor-outdoor seamless positioning approach is also discussed for location-based services in urban areas. However, there are various technical issues, such as positioning accuracy, device cost, and smooth positioning mode switching between outdoor and indoor environments. In this study, we proposed an indoor-outdoor seamless positioning methodology with single-frequency GNSS single positioning and fingerprint-based geomagnetic positioning. In our experiments, we implemented a low-cost and low-power GNSS receiver and geomagnetic sensor on a single board computer. Through our experiments, our methodology can achieve positioning among indoor and outdoor environments.
AB - GNSS positioning is hard to be used in indoor environments. Thus, many indoor positioning approaches have been developed, such as Wi-Fi positioning, Beacon positioning, IMES positioning, visible light positioning, and geomagnetic positioning. Moreover, indoor-outdoor seamless positioning approach is also discussed for location-based services in urban areas. However, there are various technical issues, such as positioning accuracy, device cost, and smooth positioning mode switching between outdoor and indoor environments. In this study, we proposed an indoor-outdoor seamless positioning methodology with single-frequency GNSS single positioning and fingerprint-based geomagnetic positioning. In our experiments, we implemented a low-cost and low-power GNSS receiver and geomagnetic sensor on a single board computer. Through our experiments, our methodology can achieve positioning among indoor and outdoor environments.
KW - Board computing
KW - Fingerprint map
KW - Indoor-outdoor seamless positioning
KW - Location-based service
UR - http://www.scopus.com/inward/record.url?scp=85107172323&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107172323&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85107172323
T3 - ACRS 2020 - 41st Asian Conference on Remote Sensing
BT - ACRS 2020 - 41st Asian Conference on Remote Sensing
PB - Asian Association on Remote Sensing
T2 - 41st Asian Conference on Remote Sensing, ACRS 2020
Y2 - 9 November 2020 through 11 November 2020
ER -