Road Abnormality Detection Using Piezoresistive Force Sensors and Adaptive Signal Models

Intelligent tires can be employed for a wide array of applications ranging from tire pressure monitoring to analyzing tire/road interactions, wheel loading as well tread wear monitoring. In this paper we develop measurement system intelligent equipped with 3-dimensional piezoresistive force sensor. The output the sensor is segmented into revolution cycles, which are then represented by transformation relying on adaptive Hermite functions. underlying idea behind step extract relevant features capture dynamics. Then evaluate proposed in potential vehicle application, that is, abnormal road surface detection. We deal corresponding binary classification problem developing both low-complexity analytical and data-driven machine learning algorithms, tested real-world data. Our experiments showed methods able detect abnormalities mean accuracy over 97%.