Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/8470
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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.accessioned2020-03-30T10:18:47Z-
dc.date.available2020-03-30T10:18:47Z-
dc.date.issued2020
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2020, Vol.766, , pp.3-9en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8470-
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.en_US
dc.titleEstimation of Tyre Pressure from the Characteristics of the Wheel: An Image Processing Approachen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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