Safety Models for AV Decision Making
Addressing safety for future autonomous vehicles while maintaining a high practicability, i.e. not using excessive safety margins, getting stuck or not able to drive at all, is still an open research question. In this regard, the Responsibility Sensitive Safety (RSS) approach, which is a formal parametric safety model, is a promising concept and is currently gaining lots of attraction. In this talk we will have a look into how reasonable parameters for the RSS models can be obtained from naturalistic driving data, the influence of perception uncertainty and how risk assessment can be combined with RSS
for enhancing safety.