Abstract:Faced with the growing problems of complexity, heterogeneity and upgradability of Real-Time Embedded Systems (RTESs), model-based frameworks dedicated to the application deployments facilitate the design and the development of such systems. Within these frameworks, taking into account the Real-Time Operating Systems (RTOSs) has become essential. These frameworks include transformation tools able to generate a code that is portable to the specified RTOS. Moreover, certain tools can generate formal models that are used for the verification and validation of the RTESs. However, the RTOSs technological concepts are considered in an implicit way, which involves a lack of genericity of the transformations. Some works have focused on the explicit description of the RTOSs. Such a description offers the possibility to take into account a model entirely dedicated to a targeted RTOS as a parameter of the transformation. Nevertheless, this method does not allow to verify the expected properties on the application, since the RTOSs behavior is not observable. The methodology presented in this paper tends to explicitly consider the formal description of the RTOSs behavior during an application deployment. This approach aims both at making each transformation generic and at verifying the deployment correctness.

In a railway infrastructure, train geographic location (e.g., GPS) must be strengthened to adapt to the network topology (i.e., inside or outside the station, straight or curved line, passages through tunnels). Alternative solutions must be proposed to meet this need. Computer vision is one of these disruptive answers to tackle this challenge. Indeed, this technology gives meaning to geographic location by getting closer to human behaviour (i.e., human eye). This paper presents an approach detecting the rails solely by computer vision and the knowledge of certain dimensions of the railway. A case study on rail signalling is also proposed to apply this approach in a safety context.