Innovation: Explainable learning-enabled mechanism able to estimate the most appropriate decision for AVs in terms of responsibility (system, driver) and motion patterns.
Improvement with respect to the state of the art: User-adapted, context-aware and safe-by-design method to plan the most appropriate action to be taken by an automated vehicle (motion plan or take-over procedure)
Success factor: usage of sampling-based planning methods, which leads to a unique trade-off between performance, adaptability and traceability

