Short-term positioning accuracy based on mems sensors for smart city solutions

• Autorzy: Grzechca Damian , Paszek Krzysztof

Identyfikatory

DOI

10.24425/mms.2019.126325

• Języki publikacji: EN

Abstrakty

EN

The paper presents a method of obtaining short-term positioning accuracy based on micro electro-mechanical system (MEMS) sensors and analysis of the results. A high-accuracy and fast-positioning algorithm must be included due to the high risk of accidents in cities in the future, especially when autonomous objects are taken into account. High-level positioning systems should consider a number of sub-systems such as global positioning system (GPS), CCTV – video analysis, a system based on analysis of signal strength of access points (AP), etc. Short-term positioning means that there are other locating systems with a sufficiently high degree of accuracy based on, e.g. a video camera, but the located object can disappear when it is hidden by other objects, e.g. people, things, shelves etc. In such a case, MEMS sensors can be employed as a positioning system. The paper examines typical movement profiles of a radio-controlled (RC) model and fundamental filtering methods in respect of position accuracy. The authors evaluate the complexity and delay of the filter and the accuracy of the positioning in respect of the current speed and phase of movement (positive acceleration, constant) of the object. It is necessary to know whether and how the length of the filter changes the position accuracy. It has been shown that the use of fundamental filters, which provide solutions in a short time, enables to locate objects with a small error in a limited time.

Słowa kluczowe

EN

electro-mechanical system; received signal strength indicator; positioning; filtering

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2019
• Tom: Vol. 26, nr 1
• Strony: 95--107
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr., wzory

Twórcy

autor

Grzechca Damian

• Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Akademicka 16,44-100 Gliwice, Poland

autor

Paszek Krzysztof

• Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Akademicka 16,44-100 Gliwice, Poland

Bibliografia

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Uwagi

EN

1. This work was supported by the Ministry of Science and Higher Education funding for young researchers statutory activities. BKMN 2018.

2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).