Situation based Data Distribution in a Distributed Environment Model

For advanced driver assistance systems (ADASs) knowledge of the environment plays a fundamental role. This also includes real-time data distribution and information about the current driving situation. A flexible situation model and a uniform situation analysis method are proposed to enable situation dependent information distribution, interpretation and fusion. This is a novel approach in the scope of automotive software. Waning from the proposed situation analysis an event-based programming model and a situation dependent data distribution is introduced. The introduction of driving situations to optimize data distribution and interpretation enables the ADAS developer to focus on their key algorithms. The proposed framework provides the distribution of the data and the situation analysis.