Context modeling for dynamic configuration of automotive functions
Current vehicles are usually equipped with an abundance of advanced driver assistant systems. Only a limited number of them can really be active permanently. This motivates our goal of providing the car with the means necessary to dynamically adapt the set of active functions to its current requirements. In this paper, we present a generic context modeling approach suitable for dynamic configuration of automotive functions. The demonstration of the feasibility of the proposed solution and evaluation of its effectiveness was based on a simulated prototypical system configuration. The simulations yielded to a significant reduction in average function activity of an exemplary car system. Depending on the provided context parameters, a reduction of up to 24% was achieved.