We propose a mobile system, called PotholeEye, for automatically monitoring the surface of a roadway and providing real-time analysis of images, with the specific goal of detecting the pavement distress. PotholeEye pre-processes the images, extracts features, and classifies the distress into a variety of types, while the road manager is driving. We have tested PotholeEye on real highway involving real settings, a camera, a mini computer, a GPS receiver, and so on, and have shown how we can effectively maintain the pavement distress.

Due to the increasing demand for quick time-to-market and diverse functionalities in the development of power train controllers, the traditional vehicle development process must be replaced with a model-based process. This type of process offers many advantages in testing, evaluation, and documentation that result in reduced development time and cost. However, it is only feasible on the condition of a proper simulation model and a suitably adapted application product interface. In this paper, we realize a specific model-based development process and demonstrate it for a continuously variable transmission (CVT). We present the main steps of the modeling process and show its implementation, functionality, and reliability.