Method and device for the fusion of sensor data of a vehicle for visualization, in particular for augmented reality applications

摘要

The invention relates to a method for merging sensor data of a vehicle for visualization, in particular for augmented reality applications, in which dynamic data, which characterize a vehicle condition and are supplied by sensors (13, 15) of the vehicle, are stored in an extended Kalman filter (9, 19 ) are processed, the extended Kalman filter (9, 19) being initialized with a covariance matrix. In a method in which the accuracy of the estimated position data of the vehicle can be improved with simple means, in addition to the dynamic data from the sensors (13, 15) characterizing the vehicle state, a position signal of the vehicle is fed to a first electronic unit (3) Depending on the dynamic data, an estimated position signal is determined, which is forwarded to a further electronic unit (7), which receives the same status information as the first extended Kalman filter (9), to a contact-analog visualization of an object to be displayed .