Abstract: A method for predicting a driving maneuver in a driver assistance system of a motor vehicle. Based on dynamic data of the vehicle detected with the aid of sensors, a history of a driving maneuver, which is not yet completed, is recorded and, based on the history, a future course of the driving maneuver is predicted. Multiple hypotheses for potentially occurring driving maneuvers are represented by respective associated sets of parameters. A theoretical history of the driving maneuver is calculated based on the parameters for each hypothesis. The recorded history is compared to at least one of the theoretical histories. Based on a similarity degree, the hypothesis which describes the presently occurring driving maneuver with the highest probability is determined and output as the prediction result.

Abstract: A method for performing an evasive maneuver using a control device. A lane model is created for a time interval on the basis of received measurement data from at least one sensor. An incident corridor, within which an evasive maneuver is possible within the time interval, is ascertained based on the received measurement data and/or the created lane model. An evasion path is planned within the ascertained incident corridor. The control commands for longitudinal guidance and/or transverse guidance of a vehicle for traveling along the evasion path are generated on receipt of a trigger incident within the time interval. A stable lane model for at least one time interval is saved at least temporarily. A stable lane model from a past time interval is used to ascertain the incident corridor if a lane model from a current time interval is unstable.

Abstract: A method for predicting a driving maneuver in a driver assistance system of a motor vehicle. Based on dynamic data of the vehicle detected with the aid of sensors, a history of a driving maneuver, which is not yet completed, is recorded and, based on the history, a future course of the driving maneuver is predicted. Multiple hypotheses for potentially occurring driving maneuvers are represented by respective associated sets of parameters. A theoretical history of the driving maneuver is calculated based on the parameters for each hypothesis. The recorded history is compared to at least one of the theoretical histories. Based on a similarity degree, the hypothesis which describes the presently occurring driving maneuver with the highest probability is determined and output as the prediction result.