Multi-Sensor Based IoT Indoor Localization
18th IEEE International Conference on Networking, Sensing and Control, ICNSC 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1769631
ABSTRACT
A typical indoor localization system relies on the availability of infrastructure such as Wi-Fi Access Points, blue-tooth beacons or antenna arrays. This increases the overall system cost and it may not be feasible for deployment in real environments such as shopping malls. A practical indoor localization system should be one that can function with mini-mum existing infrastructure. The proposed system in this paper leverages on the embedded sensors in off-the-shelf Internet of Things (IoT) devices such as smartphone in conjunction with Quick Response (QR) codes which are widely deployed under the authorities requirement due to COVID-19 pandemic. Our proposed stationary inertial measurement unit (IMU) feature is implemented through a first order finite impulse response (FIR) filter that works along with the QR codes. It has successfully reduced the drift errors suffered by IMU. The performance was evaluated in the testing environment at an university campus. From the evaluation results, the proposed method outperformed the conventional method (IMU only) and hybrid model (IMU + QR code) by 94.9% and 57.7% respectively, making the proposed method a promising technique that can be readily applied to other indoor environments. © 2021 IEEE.
finite impulse response (FIR) filter; indoor localization and navigation; inertial measurement unit (IMU); Internet of Things (IoT); Quick Response (QR) code; Antenna arrays; FIR filters; Impulse response; Indoor positioning systems; Access points; Indoor localization; Indoor localization and navigations; Indoor localization systems; Inertial measurement unit; Inertial measurements units; Internet of thing; Multi sensor; Quick response code; System costs; Internet of things
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
18th IEEE International Conference on Networking, Sensing and Control, ICNSC 2021
Year:
2021
Document Type:
Article
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