Abstract
Characteristics of the tire footprint are major indicators of tire performance and provide relevant information that can be used to improve the tire design process. However, the accurate segmentation of the tire footprint requires prior training and can be a highly man-hour consuming task. In order to overcome such drawbacks, scientists have made multiple efforts to design methods for segmenting the tire footprint automatically but it is still an open problem. In this paper, we propose a novel methodology to estimate the tire footprint under dynamic conditions and conduct an extensive subjective assessment of its quality. For this aim, we designed a subjective evaluation procedure based on the ITU-R BT.500–13 recommendation. In addition, we include a quantitative comparison of several tire contact patch segmentation methods using ray feature error and Dice index. The results of our methodology have been evaluated by expert tire engineers and will allow us to improve the tire manufacturing process.
Highlights
The area of contact between tire and road surface, called in this paper footprint, plays a critical role in the assessment of tire performance because even a small variation in its physical characteristics has a significant impact on vehicle stability, safety, and fuel consumption
In an attempt to establish a relationship between the footprint and the current physical state of the tire, researchers have measured the footprint under static conditions; that is, where the tire remains motionless
EVALUATION AND EXPERIMENTS We want to identify those segmentation algorithms that are useful under a large number of conditions
Summary
The area of contact between tire and road surface, called in this paper footprint, plays a critical role in the assessment of tire performance because even a small variation in its physical characteristics (e.g. the size or shape) has a significant impact on vehicle stability, safety, and fuel consumption. As the assessment of tire performance is vital to optimize tire design, it is important to conduct experiments that allow us to capture and measure the footprint under particular forces and tire inflation. The measurements are extrapolated to the dynamic state to explain the interaction of the tire with the road. This is based on the premise that the performance of the tire is predictable to the variations of the applied forces
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