Abstract: A method for improving safety precautions for vehicles. The method includes: obtaining, from one or from each of a plurality of vehicles moving in an at least partially automated manner, if a safety metric is fulfilled at a time point in the vehicle, scenario information and safety metric information; determining a relevance distribution of at least one safety metric of the scenario present at that time point, which indicates how often a respective safety metric is or has been fulfilled in that scenario; comparing the determined relevance distribution to relevance distributions of at least one already existing scenarios; determining the scenario to be a potential trigger event if the relevance distribution of the scenario present at that time point matches a relevance distribution of at least one already existing scenario for which a trigger event is defined; and providing information about the potential trigger event.

Abstract: A method for testing an updated version of an application for vehicles. In the method, input data for the application, which are used for a present version of the application on at least one vehicle, and output data of the present version of the application are received by a vehicle-external computing system, from the at least one vehicle via a wireless data link. The updated version of the application is executed on the vehicle-external computing system using the received input data. Output data of the updated version of the application are compared with the received output data of the present version of the application. An evaluation of the updated version of the application being carried out, based on the comparison.

Abstract: A method for validating safety precautions for vehicles moving in an at least partially automated manner, based on triggering events and safety metrics. The method includes: receiving, from one or from each of a plurality of vehicles moving in an at least partially automated manner, operating data of the vehicle present and/or recorded at the time, regarding the triggering event and/or safety metric, if at the time in the vehicle, one or at least one of a plurality of triggering events associated therewith is met and/or one or at least one of a plurality of safety metrics associated therewith exceeds or falls below a threshold value; analyzing the received operating data, correlations of triggering events, occurring at more than a predetermined frequency, and/or safety metrics being determined with respect to static and/or dynamic vehicle data of the one or of the plurality of vehicles; and providing the determined correlations.

Abstract: A computer-based system for testing a server-based vehicle function, which is designed to implement a method comprising the following steps: a function model of the vehicle function is simulated by a first simulator on a server, an at least partial vehicle model is simulated by a second simulator and the vehicle function is tested, while a data connection between the first simulator and the second simulator is systematically influenced.

Abstract: A method for testing an updated version of an application for vehicles. In the method, input data for the application, which are used for a present version of the application on at least one vehicle, and output data of the present version of the application are received by a vehicle-external computing system, from the at least one vehicle via a wireless data link. The updated version of the application is executed on the vehicle-external computing system using the received input data. Output data of the updated version of the application are compared with the received output data of the present version of the application. An evaluation of the updated version of the application being carried out, based on the comparison.

Abstract: A computer-based system for testing a server-based vehicle function, which is designed to implement a method comprising the following steps: a function model of the vehicle function is simulated by a first simulator on a server, an at least partial vehicle model is simulated by a second simulator and the vehicle function is tested, while a data connection between the first simulator and the second simulator is systematically influenced.