Version 1
: Received: 25 October 2018 / Approved: 25 October 2018 / Online: 25 October 2018 (14:04:47 CEST)
How to cite:
Grzechca, D.; Hanzel, K.; Paszek, K. The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes. Preprints2018, 2018100609. https://doi.org/10.20944/preprints201810.0609.v1
Grzechca, D.; Hanzel, K.; Paszek, K. The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes. Preprints 2018, 2018100609. https://doi.org/10.20944/preprints201810.0609.v1
Grzechca, D.; Hanzel, K.; Paszek, K. The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes. Preprints2018, 2018100609. https://doi.org/10.20944/preprints201810.0609.v1
APA Style
Grzechca, D., Hanzel, K., & Paszek, K. (2018). The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes. Preprints. https://doi.org/10.20944/preprints201810.0609.v1
Chicago/Turabian Style
Grzechca, D., Krzysztof Hanzel and Krzysztof Paszek. 2018 "The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes" Preprints. https://doi.org/10.20944/preprints201810.0609.v1
Abstract
As a part of the proposed article, the authors presented comprehensive data analysis for movement data that comes from a positioning system based on ultra-wide band (UWB) technology. For purpose of this article, a test was carried out during which the car equipped with cruise control overcame the given path at a speed from 10 km/h to 60 km/h. The obtained motion models (information about position) have been filtered through a series of filters - from fundamentals filters with a variable window (median, moving average, Savitzky-Golay filter), through more complex ones like the Wiener or Kalman filter. As a result, the authors proposed a form of data analysis and filtration depending on the speed of the moving object. In addition, the maximum accuracy that can be obtained for a given traffic model was also determined. The whole research proves that it is possible to use a system based on UWB technology in positioning objects for urban applications - smart city, in industry 4.0 applications as well as for positioning autonomous vehicles in urban applications, such as well as on highways to maintain cohesion of convoys vehicles.
Keywords
positioning; ultra-wide band; filtration; Kalman filter; smart city; industry 4.0
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
