Abstract
Available techniques for indoor object locating systems, such as inertial sensor-based system or radio fingerprinting, hardly satisfy both cost-effectiveness and accuracy. In particular, inertial sensor-based locating systems are often supplemented with radio signals to improve localization accuracy. A radio-assisted localization system is still costly due to the infrastructure requirements and management overheads. In this paper, we propose a low-cost and yet accurate indoor pedestrian localization scheme with a small number of radio beacons whose location information is unknown. Our scheme applies the Simultaneous Location and Mapping (SLAM) technique used in robotics to mobile device, which is equipped with both inertial sensors and the IEEE802.15.4a Chirp Spread Spectrum (CSS) radio, to obtain accurate locations of pedestrians in indoor environment. The proposed system is validated with real implementations. The experiment results show approximately 1.5 m mean error observed during 276 m of pedestrian moving in a 380 m2 indoor environment with five position-unknown beacons.
| Original language | English |
|---|---|
| Article number | 5910135 |
| Pages (from-to) | 455-466 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industrial Informatics |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2011 Aug 1 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Electrical and Electronic Engineering
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Inertial sensor-based indoor pedestrian localization with minimum 802.15.4a configuration. / Lee, Seungwoo; Kim, Byounggeun; Kim, Hoon; Ha, Rhan; Cha, Hojung.
In: IEEE Transactions on Industrial Informatics, Vol. 7, No. 3, 5910135, 01.08.2011, p. 455-466.Research output: Contribution to journal › Article
TY - JOUR
T1 - Inertial sensor-based indoor pedestrian localization with minimum 802.15.4a configuration
AU - Lee, Seungwoo
AU - Kim, Byounggeun
AU - Kim, Hoon
AU - Ha, Rhan
AU - Cha, Hojung
PY - 2011/8/1
Y1 - 2011/8/1
N2 - Available techniques for indoor object locating systems, such as inertial sensor-based system or radio fingerprinting, hardly satisfy both cost-effectiveness and accuracy. In particular, inertial sensor-based locating systems are often supplemented with radio signals to improve localization accuracy. A radio-assisted localization system is still costly due to the infrastructure requirements and management overheads. In this paper, we propose a low-cost and yet accurate indoor pedestrian localization scheme with a small number of radio beacons whose location information is unknown. Our scheme applies the Simultaneous Location and Mapping (SLAM) technique used in robotics to mobile device, which is equipped with both inertial sensors and the IEEE802.15.4a Chirp Spread Spectrum (CSS) radio, to obtain accurate locations of pedestrians in indoor environment. The proposed system is validated with real implementations. The experiment results show approximately 1.5 m mean error observed during 276 m of pedestrian moving in a 380 m2 indoor environment with five position-unknown beacons.
AB - Available techniques for indoor object locating systems, such as inertial sensor-based system or radio fingerprinting, hardly satisfy both cost-effectiveness and accuracy. In particular, inertial sensor-based locating systems are often supplemented with radio signals to improve localization accuracy. A radio-assisted localization system is still costly due to the infrastructure requirements and management overheads. In this paper, we propose a low-cost and yet accurate indoor pedestrian localization scheme with a small number of radio beacons whose location information is unknown. Our scheme applies the Simultaneous Location and Mapping (SLAM) technique used in robotics to mobile device, which is equipped with both inertial sensors and the IEEE802.15.4a Chirp Spread Spectrum (CSS) radio, to obtain accurate locations of pedestrians in indoor environment. The proposed system is validated with real implementations. The experiment results show approximately 1.5 m mean error observed during 276 m of pedestrian moving in a 380 m2 indoor environment with five position-unknown beacons.
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U2 - 10.1109/TII.2011.2158832
DO - 10.1109/TII.2011.2158832
M3 - Article
VL - 7
SP - 455
EP - 466
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
SN - 1551-3203
IS - 3
M1 - 5910135
ER -