Estimation of Tyre Pressure from the Characteristics of the Wheel: An Image Processing Approach

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dc.contributor.authorVineeth Reddy, V.B.
dc.contributor.authorAnanda Rao, H.
dc.contributor.authorYeshwanth, A.
dc.contributor.authorRamteke, P.B.
dc.contributor.authorKoolagudi, S.G.
dc.date.accessioned2026-02-06T06:37:07Z
dc.date.issued2020
dc.description.abstractImproper tyre pressure is a safety issue that falls prey to ignorance of users. But a drop in tyre pressure can result in the reduction of mileage, tyre life, vehicle safety and performance. In this paper, an approach is proposed to measure the tyre pressure from the image of the wheel. The tyre pressure is classified into under pressure and normal pressure using load index, tyre type, tyre position and ratio of compressed and uncompressed tyre radius. The efficiency of the feature is evaluated using three classifiers namely Random Forest, AdaBoost and Artificial Neural Networks. It is observed that the ratio of radii plays a major role in classifying the tyres. The proposed system can be used to obtain a rough idea on whether the tyre should be refilled or not. © 2020, Springer Nature Singapore Pte Ltd.
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2020, Vol.766, , p. 3-9
dc.identifier.issn21945357
dc.identifier.urihttps://doi.org/10.1007/978-981-13-9683-0_1
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30881
dc.publisherSpringer
dc.subjectAdaBoost
dc.subjectHough gradient
dc.subjectImage processing
dc.subjectNeural networks
dc.subjectRandom forest
dc.titleEstimation of Tyre Pressure from the Characteristics of the Wheel: An Image Processing Approach

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