As part of my work at the Chair of Automotive Engineering at TU Dresden, I am involved in several projects dealing with the assessment of highly automated driving functions. One of these is SePIA (scenario-based platform for the inspection of automated driving functions), which is funded by the European Union and in which a large number of Saxon project partners are on board.
The background of SePIA is, that vehicles with automated driving functions have to reach at least the driving abilities of an attentive human driver – and this over their entire lifetime. The main objective of SePIA is therefore to create a scenario platform with real driving scenarios derived from accident databases, accident reconstructions and Naturalistic Driving Studies (NDS). With the help of the platform, highly automated driving functions can then be assessed with regard to their functionality both during development and, for example, during a later general inspection. A special feature here is, that the scenarios presented should also be assessed with regard to their (objective) criticality and their representativeness for other regions / countries.
My field of application now lies primarily in the representativeness check. Together with the traffic accident research at the TU Dresden we want to develop a methodology with which we can determine the validity of the platform / the scenario catalogue for other areas and countries – a not trivial undertaking, since in the platform samples / data from most different surveys are brought together.