Abstract: A method includes receiving a motor-vehicle-generated environmental data that represent an environment of a motor vehicle from a perspective of the motor vehicle, receiving an infrastructure-generated environmental data that represent the environment of the motor vehicle from a perspective of an infrastructure, and editing the motor-vehicle-generated environmental data based on the infrastructure-generated environmental data in order to ascertain an edited motor-vehicle-generated environmental data. The method includes generating a data set that comprises the edited motor-vehicle-generated environmental data.

Abstract: The invention relates to a Bluetooth communication method implemented between a first electronic device (101) and a second electronic device (102), this second electronic device (102) being capable of sending a secure message comprising data to be processed by the first electronic device (101), the method comprising: obtaining (20) at least one security key by each of the first and second electronic devices (101, 102) the said at least one security key participating in a design of a secure tag; generating (36) a specific singular element for the secure message; transmitting (38) the secure message including its specific singular element and this secure tag by the second electronic device (102) to the first electronic device (101), the transmitting comprising establishing (44) a communication link in a Bluetooth advertising mode between these first and second devices (101, 102).

Abstract: A method, apparatus and system for generating sensor data comprising a subset of tagged sensor data. The method includes: sensing, using a sensing element, ambient data, wherein the ambient data characterises a condition of an environment proximate to the sensing element; identifying, using a data identification engine, at least a first subset of the ambient data comprising a representation of, or identifying information related to, personally relevant information obtained by the sensing element; tagging, using a data tagging engine, the first subset of the ambient data with at least one data tag; and outputting, via the communication interface, at least a second subset of the ambient data comprising ambient data that has not been tagged by the data tagging engine.

Abstract: The invention relates to an electric drive (10) of an electrically driven vehicle. The electric drive (10) comprises a rotor (22) and a stator (24) which is enclosed by a housing (25). The housing (25) is formed by an outer part (48) and an inner part (50), each of which has an axial ribbing (62, 64) extending in an axial direction (78) of the housing (25).

Abstract: A control unit for a vehicle, having an interface for the exchange of data with a sensor, an actuator, and/or a processing unit, including a data memory, in which a first list with multiple first reference numbers (port) is stored. At least one datum of a sensor or an actuator is allocated to a first reference number, and a second list with second reference numbers is stored in the data memory. At least one parameter of a data transmission is stored for each second reference number, a first reference number being allocated via a modifiable allocation to a second reference number, and the control unit being developed to receive and/or transmit the data of a first reference number in accordance with the parameter of the data transmission of the second reference number.

Abstract: The systems and methods described herein are related to a new speech understanding system for domain-specific voice interaction. The systems and methods described herein combine the automatic correction of an automatic speech recognition errors with a natural language understanding model in a way that optimizes the recognition and understanding of a received speech input. The systems and methods described herein may further support out-of-domain detection or domain classification by jointly learning and/or performing automatic speech recognition error correction and domain-related classification. Through the joint learning with automatic speech recognition error correction, the out-of-domain detection or domain classification may be conducted based on a plurality of possible speech recognition results with shared feature inputs and shared neural layers. The systems and methods described herein may achieve robust performance with high computational efficiency.

Abstract: A method for producing a spark plug including a spark plug electrode assembly having a center electrode and a ground electrode surrounding the center electrode. The spark plug electrode assembly is formed from a one-piece spark plug electrode base body made of spark plug electrode material, and the ground electrode and the center electrode are connected to one another by a connecting region, wherein the center electrode and an inner surface of the ground electrode are polygonal. The method includes: a) connecting the spark plug electrode assembly to a spark plug base body, and b) removing the connecting region between the ground electrode and the center electrode.

Abstract: A method data augmentation includes receiving audio stream data associated with at least one impulse event, receiving a label associated with the audio stream data, and detecting, using an onset detector, at least one peak of the at least one impulse event. The method also includes extracting at least one positive sample of the audio stream data associated with the at least one impulse event. The method also includes applying, to the at least one positive sample, the label associated with the audio stream data and extracting at least one negative sample of the audio stream data associated with the at least one impulse event. The method also includes augmenting training data based on the at least one positive sample and the at least one negative sample and training at least one machine-learning model using the augmented training data.

Abstract: A computer-implemented method of training a machine learnable model for controlling and/or monitoring a computer-controlled system. The machine learnable model is configured to make inferences based on a probability distribution of sensor data of the computer-controlled system. The machine learnable model is configured to account for symmetries in the probability distribution imposed by the system and/or its environment. The training involves sampling multiple samples of the sensor data according to the probability distribution. Initial values are sampled from a source probability distribution invariant to the one or more symmetries. The samples are iteratively evolved according to a kernel function equivariant to the one or more symmetries. The evolution uses an attraction term and a repulsion term that are defined for a selected sample in terms of gradient directions of the probability distribution and of the kernel function for the multiple samples.

Abstract: A hydraulic block for a hydraulic unit of a hydraulic power vehicle braking system that includes a slip control. The hydraulic block includes in an upper side a plug connection for a connecting nipple of a brake fluid reservoir. A check valve is integrated into the plug connection.

Abstract: A method for operating a vehicle electrical system that is provided for supplying at least one restraint system. In the method, in addition to monitoring the vehicle electrical system voltage, at least one further indicator is monitored as an indicator. A critical supply state of the restraint system is detected by evaluating these indicators and the efficiency of the used DC voltage switching converters is reduced by at least one measure, so that a supply current for at least one restraint system is reduced by the at least one restraint system. A release condition is requested prior to implementing the at least one measure.

Abstract: A method for ascertaining object information from image data. The method includes training an agent with the aid of reinforcement learning, successively recording images according to actions that are output by the agent, after each recording, the agent obtaining information, generated from the previously recorded images, concerning the location of surface points of an object as state information, and ascertaining the object information from the recorded images with the aid of the machine learning model.

Abstract: A method for training a generator for images from a semantic map that assigns to each pixel of the image a semantic meaning of an object to which this pixel belongs. The images generated by the generator and the at least one real training image that belong to the same semantic training map are supplied to a discriminator. The discriminator ascertains a semantic segmentation of the image assigned to it, the segmentation assigning a semantic meaning to each pixel of this image. From the semantic segmentation ascertained by the discriminator, it is evaluated whether the image supplied to the discriminator is a generated image or a real training image.

Abstract: A method for controlling the operation of a hydraulic braking system of a vehicle and in particular a vehicle drivable using muscle power and/or—in particular additionally—using motor power, an electric bicycle, e-bike, pedelec, or the like. In the method, it is checked whether a discharge condition for discharging an accumulator of the braking system is met. If the discharge condition is met, initially a controllable inlet valve in a primary circuit of the braking system is set into a partially closed state over a predefined duty cycle, in particular of 10%, and/or for a predefined time span and then an outlet valve of the accumulator is opened for a predefined time span—continuously or in intervals—so that brake fluid is discharged from the accumulator via the outlet valve, the primary circuit, and the inlet valve into a reservoir of a master cylinder of the primary circuit.

Abstract: A sensor system including a chip arrangement, the chip arrangement including a sensor and an acceleration sensor, and the sensor system including a processor circuit. The processor circuit is configured in such a way that: one or multiple temperature-dependent variables and/or properties of the sensor are ascertained, and an offset of a signal of the acceleration sensor induced by a temperature gradient is corrected with the aid of the one or the multiple ascertained temperature-dependent variables and/or properties of the sensor.

Abstract: The invention relates to a radial compressor (1) comprising at least one impeller wheel (3), which is driven rotatably in a compressor housing (2) and has a wheel front side (5) and a wheel rear side (6), the wheel front side (5) being intended to convey a mass flow (13) by means of a number of blades (7), the wheel rear side (6) of the impeller wheel (3) having a blading (8) by means of which a second pressure distribution (12) is generated on the wheel rear side (6) of the impeller wheel (3) during operation of the radial compressor (1), which second pressure distribution counteracts a first pressure distribution (11) on the wheel front side (5) in order to reduce an axial force that is to be braced in the compressor housing (2).

Abstract: An automotive cooling fan assembly includes fan driven by a motor. The motor supported by a motor support structure of a shroud. The motor support structure includes a motor carrier and support arms extend radially outward from an outer surface of the motor carrier. The fan includes a central hub and blades that extend radially outward from the side of the hub. An axial operating gap is disposed between an end of the hub and the motor support structure. The motor support structure includes a protrusion that protrudes axially into the operating gap and serves to govern an extent of deflection of the fan during a water fording event.

Abstract: A machine learning system configured to map an input data instance to an output according to a system mapping. The system mapping may be composed from multiple functions. A latent input vector may be determined in a second latent space for the input data instance, from latent reference vectors related to a number of reference data instances identified as parents.

Abstract: A transmitting device for emitting light having at least one frequency, the transmitting device being designed to emit light in different angular ranges in such a way that the frequency of the light in the particular angular range is varied in a respective frequency range dependent on time, frequencies in different frequency ranges not overlapping for different angular ranges at different times.