1. A method for a prediction subsystem in a driving assistance system of a vehicle implemented by an electronic control unit, the method comprising the following steps: accepting an environment representation representing at least one entity, wherein the at least one entity comprises at least one of a static or a moving object, or a structural element which is detected by one or more sensors in an environment of the vehicle; applying one or more plausibility rules on the environment representation; calculating a confidence estimate related to the environment representation according to a result of the application of one or more plausibility rules on the environment representation, wherein each plausibility rule comprises a plausible relation between the at least one entity and at least one another entity; and providing the confidence estimate as input for an evaluation of a prediction based on the environment representation, wherein the confidence estimate is an estimate of a degree of influence by the detected entity on the prediction, and wherein the driving assistance system is configured to perform at least one of an active control and passive control of the vehicle based on the prediction.
1. A method for a prediction subsystem in a driving assistance system of a vehicle implemented by an electronic control unit, the method comprising the following steps: accepting an environment representation representing at least one entity, wherein the at least one entity comprises at least one of a static or a moving object, or a structural element which is detected by one or more sensors in an environment of the vehicle; applying one or more plausibility rules on the environment representation; calculating a confidence estimate related to the environment representation according to a result of the application of one or more plausibility rules on the environment representation, wherein each plausibility rule comprises a plausible relation between the at least one entity and at least one another entity; and providing the confidence estimate as input for an evaluation of a prediction based on the environment representation, wherein the confidence estimate is an estimate of a degree of influence by the detected entity on the prediction, and wherein the driving assistance system is configured to perform at least one of an active control and passive control of the vehicle based on the prediction. 7. The method according to claim 1 , wherein calculating the confidence estimate comprises calculating a combination of multiple confidence estimates, resulting from applying multiple plausibility rules, based on at least one of a summation, weighted summation, product, weighted product, and selecting a minimum or maximum.