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Vision systems are of a great interest for monitoring driver's vigilance and occupant nature and position. The use of such system can also provide many information for increasing vehicle occupant comfort and security. This global approach has been initiated within Siemens Automotive SA by the development of a real time prototype for loss of vigilance detection. Work is now going on for occupant sensing. In this paper we present the result obtained on driving vigilance monitoring and the working directions for occupant nature and position analysis.

A progressive fuzzy modeling method is proposed in this paper. It gives a classical fuzzy model with local linear model in the conclusion part of each rule. To avoid model inversion difficulties, the fuzzy model structure is used in order to implement the system controller. It induces Sugeno's type of rules with triangular membership functions in the premises and control parameters in the conclusion of the rules. This methodology is then applied to the case of automotive engine air inlet modeling.