| 主权项 |
1. A method for a prediction subsystem in a driving assistance system of a vehicle, the method comprising the following steps:
accepting a set of basic environment representations, wherein each basic environment representation represents at least one first entity detected by one or more sensors in an environment of the vehicle; allocating a set of basic confidence estimates, wherein each basic confidence estimate of the set is associated to one of the set of basic environment representations, and each basic confidence estimate represents a combination of one or more detection confidences related to the associated basic environment representation; associating at least one weight to one of the set of basic confidence estimates, wherein the weight is related to a composite environment representation based on the set of basic environment representations and the weight indicates an effect of a detection error in the basic environment representation, to which the basic confidence estimate is associated to, on a prediction for a second detected entity; calculating a weighted composite confidence estimate for the composite environment representation based on a combination of the set of basic confidence estimates with the associated at least one weight; and providing the weighted composite confidence estimate as input for an evaluation of the prediction based on the composite environment representation. |
