Abstract: A microfluidic device for processing chemical and/or biological substances includes a polymer cartridge and at least one other component. The other component is attached to the polymer cartridge via at least one microfluidic interface.

Abstract: A controller that controls operation of the motorcycle, to which a surrounding environment detector is mounted, includes: an acquisition section that acquires information on the surrounding environment of the motorcycle on the basis of output of the surrounding environment detector during travel of the motorcycle; and an adaptive cruise operation performing section that makes the motorcycle perform adaptive cruise operation on the basis of the surrounding environment information acquired by the acquisition section. The acquisition section acquires other vehicle travel state information that is information on a travel state of an other vehicle acquired by a different vehicle from the motorcycle via wireless communication. The controller further includes a safety operation performing section that makes the motorcycle currently performing the adaptive cruise operation perform safety operation on the basis of the other vehicle travel state information acquired by the acquisition section.

Abstract: A computer-implemented method for detecting anomalous activity in a computer system by monitoring at least one decoy application programming interface. The method includes: detecting, in at least one decoy API hosted in a computer system, a function call to the at least one decoy API from an element of the computer system; and transmitting an intrusion message from the at least one decoy API to an intrusion detection system signifying that a function call to the at least one decoy API has been made.

Abstract: A generative adversarial network. The generative adversarial network includes: a generator configured for generating an image and a corresponding label map; a discriminator configured for determining a classification of a provided image and a provided label map, wherein the classification characterizes whether the provided image and the provided label map have been generated by the generator or not and determining the classification comprises the steps of: determining a first feature map of the provided image; masking the first feature map according to the provided label map thereby determining a masked feature map; globally pooling the masked feature map thereby determining a feature representation of the provided image masked by the provided label map; determining a classification of the image based on the feature representation.

Abstract: A method for detecting at least one linear object in an input image is disclosed. The input image, and/or an extract of the input image, is fed to an image classifier, which classifies specified regions of the input image or extract in each case at least into relevant regions, the center of which lies in fairly close proximity to the center point of at least one linear object passing at least partially through this region, and background regions where this is not the case. For the relevant regions, coordinates are acquired from a regression which indicate at least one local course of the linear object in the relevant regions. From these coordinates, the course of the linear object is evaluated in the entire input image.

Abstract: A computer-implemented method for maintaining a function of a local entity upon connection disruption to a backend in a communication system including a backend and a plurality of local entities. The backend provides backend information for the function. The method includes reception of local behavior models from a plurality of local entities by the backend, wherein the local behavior models provide the function in the local entities if particular backend information is not available; creation of a behavior model based on the received local behavior models; and transmission of the behavior model to a local entity of the plurality of the local entities by the backend.

Abstract: A method for detecting a lane for a driver assistance system. The method includes an arranging step in which a grid is arranged over a camera image from a vehicle camera, the camera image displaying a roadway. In a displaying step, a lane candidate is displayed using at least one parameter and/or a confidence value for the lane candidate when the at least one lane candidate is detected in at least one cell of the grid. In a filtering-out step, the lane candidate is filtered out when the confidence value of the lane candidate is below a defined confidence threshold. In a back-transforming step, the lane candidate is transformed back to a fixed number of keypoints per lane candidate when the confidence value of the lane candidate is above the confidence threshold, to obtain the lane. In a determining step, 3D coordinates for the lane are determined using the keypoints.

Abstract: A brake system for a motor vehicle. The brake system includes an autonomous emergency braking system to ascertain an object list using sensor data and continuously update the object list based on newly added sensor data, to ascertain a braking event based on the object list at a first point in time and to activate the actuating device to generate a hydraulic force if a braking event is ascertained, to recognize whether the braking event is still present based on the updated object list at a second point in time, after the first point in time; and to activate the hydraulic unit directly to reduce the hydraulic force applied to at least one wheel brake of the motor vehicle if the braking event is no longer present.

Abstract: A computer-implemented method for analysing the relevance of visual parameters for training a computer vision model. Upon adjusting the set of visual parameters to increase their relevance, a new set of visual data and corresponding groundtruth results that can be used in (re)training and/or testing the computer vision model.

Abstract: The disclosure relates to a sensor assembly for a vehicle, comprising: a speed sensor for each vehicle wheel that detects an rpm-dependent and/or rotational-speed-dependent physical variable, which is used to ascertain speed information; a primary control unit, which analyses the speed information to perform first braking functions; and a secondary control unit, which analyses the speed information to perform second braking functions. A control unit is positioned close to each of the vehicle wheels, and is connected to the speed sensor associated with the corresponding wheel and receives a sensor signal and determines the speed information for the corresponding vehicle wheel, the primary control device and a further control device receiving the speed information for analysis in real time, and the control devices making the speed information available in the form of first sensor data to a central network over a databus for distribution in the vehicle.

Abstract: A method and device are disclosed for improved object detection in an area surrounding a robot. In the method, first and second sensing data are obtained, which can be assigned to a first or second sensing means of the robot, respectively, and which contain at least one portion of the area surrounding the robot. An objection detection of an object in the area surrounding the robot is carried out using a fusion of at least the first and the second sensing data. An item of redundancy information is generated, which is assigned to the object detection and at least indicates whether the detected object has been detected using only the first or only the second sensing data or whether the detected object or at least one or more sections of same has been detected redundantly using both the first and the second sensing data.

Abstract: A subscriber station for a serial bus system. The subscriber station has a communication control device for controlling a communication of the subscriber station with at least one other subscriber station of the bus system. The communication control device generates a transmit signal according to a frame and inserts a field having an edge into the frame after a second communication phase. The field has, before the edge, a predetermined length corresponding to a time period that is longer than the time period of a bit time of a first communication phase. The edge is provided for synchronization to the communication on the bus for a communication control device of the at least one other subscriber station of the bus system whose transceiver device is switched, before the predetermined time period, into an operating mode for transmitting and receiving the frame in the first communication phase.

Abstract: A method for operating electrical drive units of seat components in a motor vehicle during a detected pre-crash situation. The method moves a passenger to a target position for an impending crash based on an actual position of the passenger. The method also determines a control strategy for coordinating an adjustment of the seat components in order to actuate at least two of the drive units simultaneously or immediately successively such that the required power of the drive units is minimized.

Abstract: An application tool, in particular a chisel or a drill bit, is disclosed. The application tool has a tool head. The application tool further has a shank region in which a main body is arranged, wherein the main body has a first hardness. The application tool further has a coating that has a second hardness greater than the first hardness. The coating includes a hard metal, which comprises a hard material and a metal matrix. Advantageously, the durability of the application tool can be increased as a result.

Abstract: A method for determining the vital functions of a vehicle occupant enables precise measurements and is easy to use without negatively affecting the vehicle occupant. The method includes determining the vital functions of the vehicle occupant using a sensor device integrated in a vehicle seat of a motor vehicle, and acquiring measurement signals of the vehicle occupant from which cardiogram signals are acquired. The method further includes using an evaluation unit to ascertain the vital functions of the vehicle occupant from the cardiogram signals. The sensor device is a magnetic field sensor device, and the cardiogram signals are magnetic cardiogram signals.

Abstract: A computer-implemented method for training a deep state space model using machine learning. The deep state space model includes a generative model and a multi-modal inference model. The generative model includes a transition model, and an emission model. The method includes: a) receiving a training data set comprising a sequence of observation vectors. For a plurality of observation vectors, the method iterates between b), c), and d) in sequence: b) inferring, using the multi-modal inference model, a current latent state of the generative model; c) constructing, using the multi-modal inference model, a posterior approximation of the current latent state as a mixture density network. For a plurality of observation vectors comprised in the sequence of observation vectors, d) decoding, using the emission model, the plurality of approximated latent state vectors to provide a plurality of synthetic observations; and e) outputting the trained deep state space model.

Abstract: Systems and methods for aligning knowledge graphs. A subgraph type is assigned to each node of a plurality of nodes in a first knowledge graph and a second knowledge graph. The assigned subgraph type for each node is determined based on the labels of a plurality of edges and/or other nodes coupled to the node in the knowledge graph. An initial matching is performed to identify a plurality of candidate node-node pairs each including one node from each knowledge graph. A candidate node-node pair is identified as a valid node-node mapping based at least in part on a determination that the subgraph type combination of the candidate node-node pair matches a subgraph type combination of another candidate node-node pair that has previously been confirmed as a valid node-node mapping. In some implementations, a machine-learning model is trained to use the aligned knowledge graphs.

Abstract: A computer-implemented method of training a generator for transforming a given image according to a given target foreground domain is disclosed. A generator, discriminator, Mapping network, and a Style-Content encoder are trained. Furthermore, a method of image to image translation according to a given target foreground domain by the trained generator is provided. The generator may be trained to generate images depicting defects.

Abstract: A method for controlling a robot for manipulating, in particular picking up, an object. The method includes: creating an image which depicts the object; generating a manipulation-quality image from the image, in which, for each pixel which represents a point on the surface of the object, the pixel value of the pixel provides an assessment of how well the object may be manipulated at the point; recording descriptors of points of the object which should be used during the manipulation and/or of points which should be avoided during the manipulation; mapping the image onto a descriptor image; generating a manipulation-preference image by comparing the recorded descriptors of points to the descriptor image; selecting a point for manipulating the object taking into account the pixel values of the manipulation-quality image and the pixel values of the manipulation-preference image; and controlling the robot to manipulate the object at the selected point.