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 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.
Highlights
The automotive industry is experiencing a period of innovation, represented by the term CASE
We describe the intelligent tire (iTire) system and propose an algorithm for determining road conditions using data from an acceleration sensor installed inside a tire
Figure shows the experimental setup of the iTire system road condition classification algorithm
Summary
The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Niskanen et al conducted a study to distinguish between two road surfaces with different friction conditions by attaching an acceleration sensor to the inside of a tire [18]. We describe the iTire system and propose an algorithm for determining road conditions using data from an acceleration sensor installed inside a tire. ITires utilize the output of an acceleration sensor attached inside the tire to determine road conditions, which are relayed to the driver. The road condition classification system consists of a Bluetooth receiver (which receives the sensor information), a function that processes the received acceleration sensor values through FFT, and a function to determine the road conditions using ANN analysis. ANN analysis determines the road surface conditions based on the features generated by the signal pre-processing unit.
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