Observer algorithms are used to determine the road condition, which evaluate existing vehicle sensors based on non-linear state space models.

In the vicinity of the vehicle dynamic limit range, known algorithms provide the desired information in sufficiently high quality. In customer-relevant driving operation, however, there is a lack of sufficiently high excitation and thus of availability of the information.


Research will focus on the necessary modelling depth of the axle and tyre system to maximise the robustness and quality of the estimated external parameters in customer operations.

Another aspect is the joint statistical analysis of information derived from a wide range of possible environmental and driving situations.