Abstract: A method and device for determining a classification for an object. The device is designed to provide pixels of a radar image that are assigned to the object, wherein the device is designed to provide a point cloud, wherein the point cloud comprises at least one point that represents a radar reflection assigned to the object, through at least one property assigned to the object, wherein the device is designed to extract first features that characterize the object, from the pixels, to extract second features that characterize the object, from the point cloud, and to determine the classification of the object depending on the first features and the second features.

Abstract: A method for determining an ego-velocity estimated value and an angle estimated value of targets using a synthetic aperture radar sensor. A distance is measured between the synthetic aperture radar sensor and each respective target. A relative velocity of the respective target is measured using the Doppler effect. An angle estimation of an angle estimated value takes place, which characterizes the angle between the direction of the ego-velocity of the synthetic aperture radar and the respective target. An individual ego-velocity estimated value of the synthetic aperture radar sensor is ascertained using the relative velocity and the angle estimated value for each target.

Abstract: A method for training a generator. The generator is supplied with at least one actual signal that includes real or simulated physical measured data from at least one observation of the first area. The actual signal is translated by the generator into a transformed signal that represents the associated synthetic measured data in a second area. Using a cost function, an assessment is made concerning to what extent the transformed signal is consistent with one or multiple setpoint signals, at least one setpoint signal being formed from real or simulated measured data of the second physical observation modality for the situation represented by the actual signal. Trainable parameters that characterize the behavior of the generator are optimized with the objective of obtaining transformed signals that are better assessed by the cost function. A method for operating the generator, and that encompasses the complete process chain are also provided.

Abstract: A MIMO radar system.

Abstract: A method for operating a radar sensor in a motor vehicle, in which in a SAR measuring mode according to the principle of the synthetic aperture, objects, including stationary objects, are located with high angular resolution. The same radar sensor is operated in time-shifted manner or concurrently in the SAR measuring mode and in a Doppler measuring mode, the relative speeds of objects, including moving objects, being measured with a time resolution in the Doppler measuring mode that is greater than the time resolution in the SAR measuring mode.

Abstract: A MIMO radar system including a transmitter array, and a receiver array, the antenna distances in one of the transmitter and receiver arrays being above the Nyquist limit for unambiguous angle measurements, but the antenna distances in the combination of the transmitter and receiver arrays being below this Nyquist limit. The system also includes a control and evaluation unit.

Abstract: A method for operating a sensor of a motor vehicle. The method includes: ascertaining an ego trajectory of the sensor, generating adaptation signals for adapting at least one operating parameter of the sensor based on the ascertained ego trajectory and outputting the adaptation signals in order to adapt the at least one operating parameter of the sensor based on the adaptation signals. A device, a sensor system, a motor vehicle, a computer program, and a machine-readable memory medium, are also described.

Abstract: A method for training a trainable module for evaluating radar signals. The method includes feeding actual radar signals and/or actual representations derived therefrom of a scene observed using the actual radar signals to the trainable module and conversion thereof by this trainable module to processed radar signals and/or to processed representations of the respective scene, and using a cost function to assess to what extent the processed radar signals are suited for reconstructing a movement of objects or to what extent the processed representations contain artifacts of moving objects in the scene. Parameters, which characterize the performance characteristics of a trainable module, are optimized with regard to the cost function. A method is also provided for evaluating moving objects from radar signals.

Abstract: A system and method for providing classified digital recordings, for a system for automatic machine learning. A first digital recording is captured at a first point in time which includes an object situated at the first point in time at a first distance from the recording unit. A first classification of the object is determined using the data of the first digital recording. At a second point in time, a second digital recording is captured, which includes the object situated at the second point in time at a second distance from the recording unit. A second classification of the object is determined using the data of the second digital recording. A digital recording classified using a result of the second classification is provided, which includes at least a part of the first digital recording when a result of the first classification differs from the result of the second classification.

Abstract: Radar sensor for motor vehicles. The radar sensor has a high-frequency part, which is configured to transmit sequences of modulated radar pulses and to receive the corresponding radar echoes, and an electronic evaluation part, which is configured to take distance and angle measurements using a synthetic aperture, and includes a scanning module, an FFT module for performing fast Fourier transforms to calculating a two-dimensional distance/velocity radar image, a transform module configured to transform the raw data, while simultaneously correcting migration effects, into a format that can be processed by the FFT module, by applying a transform function defined by a number N of coefficients, and a coefficient module for preparing the coefficients for the transform module. The coefficient module including a memory, in which there is stored an initial set of coefficients comprising fewer than N coefficients, and a recursion module, for recursive calculation of the remaining coefficients.

Abstract: A device, a memory medium, a computer program, and a computer-implemented method for validating a data-based model for classifying an object into a class for an object type or a function type for a driver assistance system of a vehicle. The classification is determined as a function of a digital signal using the data-based model. A reference classification for the object is determined as a function of the digital signal, using a reference model. It is checked, as a function of the classification and the reference classification, whether or not the classification of the data-based model for the object is correct, and the data-based model is validated or not validated, depending on whether or not the classification is correct. The classification and the reference classification are determined for a set of digital signals that are associated with different distances between the object and a reference point.

Abstract: A method for low-interference operation of a plurality of radar sensors, which are installed in different vehicles and each emit a transmission signal in an operating range, which is characterized by at least one of the following parameters: frequency, coding, activity time window. Each radar sensor is assigned an operating range according to at least one degree of freedom of movement of the vehicle, in which the radar sensor is installed.

Abstract: A MIMO radar system. The system includes a transmitter array, a receiver array, the antenna distances in one of the transmitter and receiver arrays being below the Nyquist limit for unambiguous angle measurements, but the antenna distances in the combination of the transmitter and receiver arrays being above this Nyquist limit. The system further includes a control and evaluation unit, which is designed to transmit via the transmitter array a sequence of transmit signals, which are subdivided into multiple measuring blocks, in each of multiple repeatedly implemented measuring cycles, a uniform multiplex scheme being applied within each measuring block and the multiplex schemes varying from measuring block to measuring block, carry out a Doppler estimation and an angle estimation based on the receiver array, carry out a Doppler correction of the received signals based on the Doppler estimations, demultiplex the Doppler-corrected signals, and refine the Doppler estimations and angle estimations.

Abstract: An autonomous mobile device, in particular an autonomous work device. The device includes at least one device frame; at least one drive unit for generating a propulsion force; at least one detection unit, situated in or at the device frame, for detecting the surroundings of the device frame, the detection unit including at least one synthetic aperture radar sensor; and at least one control or regulation unit for controlling or regulating the drive unit and/or the detection unit. The control or regulation unit is configured to activate the drive unit in such a way that a self-rotation of the device frame about a vertical axis of the device frame to form a circular synthetic aperture takes place with the aid of the synthetic aperture radar sensor.

Abstract: A method for a MIMO radar system includes encoding signals that are transmitted from different transmitting antennas according to code blocks; determining for a radar object a Doppler estimation that has a periodic ambiguity; and resolving the periodic ambiguity, where the resolving includes, for each of multiple ambiguity hypotheses of the Doppler shift: compensating for the Doppler shift according to the respective ambiguity hypothesis, and decoding for separating signal components associated with the transmitting antennas. An ambiguity hypothesis that is applicable to the radar object is selected based on quality criteria for the decoding for the particular ambiguity hypotheses, and an unambiguous speed estimation of the radar object is determined corresponding to the Doppler estimation and the selected ambiguity hypothesis. The quality of an angle estimation based on the signal components can be determined as a quality criterion for the decoding.

Abstract: A method for determining an ego-velocity estimated value and an angle estimated value of targets using a synthetic aperture radar sensor. A distance is measured between the synthetic aperture radar sensor and each respective target. A relative velocity of the respective target is measured using the Doppler effect. An angle estimation of an angle estimated value takes place, which characterizes the angle between the direction of the ego-velocity of the synthetic aperture radar and the respective target. An individual ego-velocity estimated value of the synthetic aperture radar sensor is ascertained using the relative velocity and the angle estimated value for each target.

Abstract: A method for operating a radar sensor in a motor vehicle, in which in a SAR measuring mode according to the principle of the synthetic aperture, objects, including stationary objects, are located with high angular resolution. The same radar sensor is operated in time-shifted manner or concurrently in the SAR measuring mode and in a Doppler measuring mode, the relative speeds of objects, including moving objects, being measured with a time resolution in the Doppler measuring mode that is greater than the time resolution in the SAR measuring mode.

Abstract: A radar sensor for motor vehicles, having a signal generator that is configured to generate a radar signal that contains a cyclically repeating sequence of N wave trains, where j=1, . . . , N, which are transmitted successively at time intervals T?c,j and which occupy respective frequency bands that differ from one another in terms of their center frequencies fc,j, wherein the relationship applicable to the time intervals T?c,j and the center frequencies fc,j is: T?c,j*fc,j=X, where the parameter X is constant.

Abstract: A MIMO radar system including a transmitter array, and a receiver array, the antenna distances in one of the transmitter and receiver arrays being above the Nyquist limit for unambiguous angle measurements, but the antenna distances in the combination of the transmitter and receiver arrays being below this Nyquist limit. The system also includes a control and evaluation unit.

Abstract: A MIMO radar system. The system includes a transmitter array, a receiver array, the antenna distances in one of the transmitter and receiver arrays being below the Nyquist limit for unambiguous angle measurements, but the antenna distances in the combination of the transmitter and receiver arrays being above this Nyquist limit. The system further includes a control and evaluation unit, which is designed to transmit via the transmitter array a sequence of transmit signals, which are subdivided into multiple measuring blocks, in each of multiple repeatedly implemented measuring cycles, a uniform multiplex scheme being applied within each measuring block and the multiplex schemes varying from measuring block to measuring block, carry out a Doppler estimation and an angle estimation based on the receiver array, carry out a Doppler correction of the received signals based on the Doppler estimations, demultiplex the Doppler-corrected signals, and refine the Doppler estimations and angle estimations.