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WP6 involves the further development of user condition monitoring in passenger cars and commercial vehicles in view of the requirements of automated driving concerning comfort and driving safety as well as, in particular, the requirements resulting from a redesign of the vehicle interior (cf. WP2).

The requirements from WP1 are used to derive the definition of relevant user conditions and use cases while taking into consideration legislative constraints and functional/passive safety.

Existing algorithms used as a basis for assessing driver attributes with regard to driving safety (e.g., for assessing the driver’s readiness to take over control of the vehicle) will undergo further development and will be expanded in order to satisfy the requirements relating to new seat/sitting positions, interior geometry, and changes in use during automated driving. For this purpose, the camera-based driver condition monitoring system will be enhanced and developed into a multisensor interior monitoring system in order to capture the whole interior and additional user data. The basic algorithms of the driver condition monitoring system will serve as the basis for this and will above all be enhanced with context information about the interior.

In addition, new techniques are to be developed that can be used to record information about comfort-related driver and passenger attributes (e.g., heart rate, breathing). The use of such attributes for assessing the comfort of vehicle occupants is to be evaluated in the course of the project on the basis of real driving data (WP5)

Work package objective:

The aim of WP6 is to develop a user condition monitoring system that uses multisensor interior monitoring to assess the “inner condition” of persons in the vehicle with respect to ride comfort, motion sickness, and readiness to take over control of the vehicle.

To achieve this, sensor technologies are to be selected for the interior that can supply suitable data that will allow attributes specific to each person to be extracted and so make it possible to determine relevant attributes for the purpose of user condition monitoring.

The benefit of comfort assessment using person-specific attributes in contrast to using vehicle or environment data is to be demonstrated empirically.