Automated vehicles rely heavily on data-driven methods, especially for complex urban
environments. Large datasets of real world measurement data in the form of road user …

Objective: In order to introduce automated vehicles on public roads, it is necessary to ensure
that these vehicles are safe to operate in traffic. One challenge is to prove that all physically …

The introduction of automated vehicles promises an increase in traffic safety. Prior to its
launch proof of the anticipated reduction in the sense of a positive risk balance compared …

The objective of the study was to identify the number and national fraction of crashes that
could be affected by universal adoption of conditionally automated vehicles (SAE3) based …

The intelligent application of simulation is of central importance for the successful
development and testing of automated driving functions. Realistic virtual environments are …

Scenario-based approaches are important for verifying and validating automated driving
systems due to the complexity of traffic, which cannot be covered by on-road tests. A …

A major challenge for autonomous vehicles (AVs) today is driving in a complex urban
environment where various traffic participants, infrastructures, and events are mixed. A …

Level 3 automated driving systems could introduce challenges to traffic systems as they
require a specific lead time in their procedures to ensure the safe return of vehicle control to …

For the prospective effectiveness analysis of highly automated driving functions, BMW has
developed an integrated method that represents a safety assessment of these functions in …

A large portion of the accidents involving autonomous vehicles (AVs) are not caused by the
functionality of AV, but rather because of human intervention, since AVs' driving behavior …