1. A method for classifying surroundings of a motor vehicle into one of multiple predefined classes, comprising: providing, by an estimating unit, a classification regarding one of multiple predefined classes to which the surroundings belong, the multiple predefined classes including at least two of a freeway class, a traffic-calm zone class, a city traffic zone class, or a parking situation class; receiving, via an interface unit, sampled pieces of information from the surroundings of the motor vehicle; determining, by a processing unit, based on the sampled pieces of information, at least one criterion which supports or weakens the classification; storing a plurality of determined criteria; and determining, by the processing unit, a probability of the classification being correct with the aid of Bayes filtering of the at least one criterion, the probability being determined based on the stored criteria.