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Keywords = Intelligent tire (iTire)

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8 pages, 2225 KiB  
Article
A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
by Hyeong-Jun Kim, Jun-Young Han, Suk Lee, Jae-Ryon Kwag, Min-Gu Kuk, In-Hyuk Han and Man-Ho Kim
Electronics 2020, 9(3), 404; https://doi.org/10.3390/electronics9030404 - 28 Feb 2020
Cited by 24 | Viewed by 4128
Abstract
The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and informs the driver [...] Read more.
The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and informs the driver of the road conditions. iTire can promote safe driving. Various kinds of research on iTire is ongoing, and this paper proposes an algorithm to determine the road surface conditions while driving. Specifically, we have proposed a method for extracting the feature points of a frequency band, by converting acceleration data collected by sensors through fast Fourier transform (FFT) and determining road surface conditions via an artificial neural network. Lastly, the applicability of the algorithm was verified. Full article
(This article belongs to the Section Electrical and Autonomous Vehicles)
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