The European Union (EU)-funded project HAVEit aims at the realization of highly automated driving for intelligent transport. Within the Joint System approach in HAVEit automation is adapted to the intentions and limits ofboth of the two members in a Joint system- the driver and a technical co-system. In order to evaluate drivers performance capabilities it is necessary to online monitor his/her alertness and attention level. If the driver is detected as either drowsy or distracted it has to be decided how to bring him/her back into the loop by selecting the appropriate automation level. This paper presents an approach for online assessment of drivers state by using a combination of direct measures (e.g. eye lid measurement) and indirect measures (e.g. driving performance measures). A differentiatedset of parameters is described that reflects the underlying energetic andattentional processes within the evolution of driver’s state.
Abstract