1. A method for computationally predicting future movement behaviors of at least one target object, said method comprising the steps of: producing sensor data by at least one sensor physically sensing the environment of a host vehicle, computing a plurality of movement behavior alternatives of a target object sensed by the sensor(s) for the same initial situation, by predicting movement behaviors of the target object applying a context based prediction step using indirect indicators derived from said sensor data, wherein said context based prediction step uses a set of classifiers for each movement behavior, each classifier estimating a probability that said sensed target object will execute a movement behavior at a time, wherein the probability is calculated based on a feature vector calculated for each classifier based on the indirect indicators, and wherein at least part of said indirect indicators relate to information about a relation between the target object and one or more other traffic participants, validating the movement behavior alternatives by a physical prediction comparing measured points with trajectories of situation models and determining at least one trajectory indicating at least one possible behavior of the target object, wherein the at least one movement behavior is a sub-set of the possible movement behavior alternatives, estimating at least one future position of the target object based on the at least one trajectory, and outputting a signal representing the estimated future position.