Research on Methods of Tire Sensory Measurement Based on Image Processing

Abstract

This paper proposes and analyzes sensory measurement of tire based on image processing, which uses tangent value method, proportion method and Euclidean distance method to detect tire pressure and overload and uses Tamura texture features to describe tire abrasion level. The research presents a contactless way to detect tire pressure, overload and abrasion level and has certain advantages and innovations in function and implementation compared with existing TPMS which can’t detect the tire abrasion level. This research is an application of image processing-based computer vision in tire sensory measurement; it makes the measurement of tire automatically and intelligently and can be used to prevent traffic accidents caused by tires effectively. There are practical values.

Methods of Dynamic Tire Pressure Judgment Based on Image Processing

“…The author in [4] carried on the tangent to judge the tire pressure based on image processing for stationary vehicle. This paper put forward a tangent method based on image processing to judge the tire in quiescent state.…”

“…Janjun Tan and Tianfa Jiang proposed a pinhole camera-based tire pressure detection device in 2004 [5]; it is a non-contact measurement based on image, but it is inconvenient to install and use, and is affected easily by the environment. The author in paper [4] according to the stationary vehicle used the tangent to judge the tire pressure based on image processing.…”