Future driver assistance and information systems must become more and more intelligent and autonomous in terms of increasing demands on traffic safety and efficiency. This development is also driven by new customer requirements as well as the demographic development.
For individual adaptation to the needs and limitations of individual drivers, driver assistance systems require information about the current situation in the car. In the InCarIn project, the individual needs of all vehicle occupants should therefore be recorded by means of a holistic identification of persons and gestures and an interior context analysis.
The recognition of the interior space situation is the basis for the necessary adaptation of future vehicle systems to humans. This ensures greater road safety. The project will also focus on important issues of technology acceptance as well as data security investigations.
The analysis makes use of robust sensors, novel evaluation algorithms, sensor fusion and the definition and implementation of innovative human-technology interfaces which makes it possible to use the acquired data for user-specific assistance, information or convenience.