Abstract
Abstract The automotive embedded electronics was mainly used to manage vehicle control functions. Now, it is used more and more for other high-level functions such as driving assistance functions that require for example acquisition modules and video processing. The car industry is going now in a direction to define new ADAS (Advanced Driving Assistance System) to increase driver safety. In order to evaluate these ADAS functions, we need an estimation of driver behavior indicators (human factors), and robust models of Human Vehicle Interfaces (HVI). To compute such metrics, an experimental car is equipped with numerous types of sensors, whose data is acquired and processed at runtime. All these requirements necessitate a common software architecture to encapsulate and synchronize these processing modules. The paper presents a middleware-based software architecture called SCOOT-R, developed at our laboratory to design and prototype multi-sensors automotive applications for driving assistance systems. The solution is based on a serial network bus and allows the component-based software development with the integration of timing constraints and monitoring. Finally, the paper presents the use of SCOOT-R middleware to develop an embedded automotive system for the evaluation of driving assistance systems.
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