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In recent years of research activities within the field of Advanced Driver Assistance Systems (ADAS), it became more and more obvious, that the present standard representation of the current state of a vehicle's environment is not sufficient anymore. Experience has shown that for functions addressed in the years ahead, there is a strong need for more dense environmental models, than the commonly used object lists. Many proposals have been made towards this direction; these are discussed in this work. Based on this overview, we propose a so called “Hybrid Environmental Model” approach for meeting requirements of future ADAS functions by complementing the existing solutions with a dense, grid-based representation. Additionally, methods are discussed which enhance the efficiency of data transport and therefore enable a potential series application of this approach.