Abstract:
In an object verification method for use in radar systems for motor vehicles, the distances and relative velocities of located objects are determined on the basis of received radar echoes. The signature of multiple reflections is searched for in the received radar echoes to verify real objects.
Abstract:
A method and device are provided for measuring distance and relative speed of a plurality of objects with the aid of an FMCW radar, transmitted signals being reflected by objects, and the reflected signals being received and mixed with the transmitted signals. A combination of distance and relative speed values is assigned to the mixer output frequencies of each frequency ramp for each object, and the distance and relative speed of a possible object are determined from points of intersection of a plurality of distance and relative speed combinations. The apparent (unreal) objects are eliminated by modifying the frequency slope of at least one frequency ramp according to the random principle in a subsequent measurement cycle.
Abstract:
A method and device for identifying and classifying objects, electromagnetic radiation being emitted by a sensor, the radiation components reflected on objects being received by the sensor, the received signals being analyzed by comparison with stored characteristic values and the class of the reflecting object being deduced on the basis of the analysis. To this end, an analyzer is provided for analyzing the received signals, a memory is provided for storing characteristic patterns, its stored patterns being compared with the analyzed signals and thus the class of the reflecting objects being deducible on the basis of the comparison.
Abstract:
A method for predicting object movements in a driver assistance system of a motor vehicle, in which the movements of objects located periodically by a locating device (12) are precalculated by dynamic modeling of the objects, characterized in that a plurality of dynamic models (16) are held in readiness which are based on different hypotheses about the object, and that the models are selected and/or weighted as a function of the situation in accordance with the correctness probability (P1, P2) of the hypotheses for the prediction.
Abstract:
A driver assistance system includes a position finding system (12) for locating objects in the surroundings of a vehicle and at least one assistance function, as well as a device for recognizing special situations by recognizing a characteristic signature in at least one distribution of position finding data in a set of located objects.