… criticality based on FMECA. Additionally, we propose a technique of vulnerability analysis
using criticality … develop and test the vulnerability analysis program for automation of analysis. …

… However, participants in driving simulators might not realize the risk of ADS failures and the
criticality of manually resuming vehicle control in a naturalistic driving environment. Therefore…

… To examine the Maneuver’s influence, the Secondary task, the Indicator usage, the Scope
of action, and the Criticality for the Changer on the perceived criticality, we fitted a GLMM (see …

… From the analysis, it was evident that depending on the relative importance given on the
three parameters, the criticality (ranking) of nodes could change. For example, node 4 was …

… automated overtaking maneuver should be carried out or not. The selected maneuver was
executed by the automated vehicle in automated … and the perceived criticality were measured. …

… with the task of traffic analysis for criticality estimation and motion planning in … “criticality” as
the probability that the current traffic situation will lead to a collision for the own (EGO-) vehicle…

… as the safety indicators of the overtaking scenario to evaluate the criticality of the scenario,
obtained the critical test cases, and used the weighted Euclidean distance clustering method …

… and the automated vehicle to the horse. In this simulation, the automated vehicle is assumed
… depend on the situation criticality, the driver state, and the automation level. Implementing …

… (2) taking an exemplary concrete scenario and increasing its criticality, and (3) taking a logical
… Different types of unsafe scenarios have different metrics and levels of criticality. Based on …

… for criticality identification to provide coverage estimates is proposed. It is uses a criticality …
performance of the tested ADS regarding the experienced criticality, based on the pre-defined …