Abstract: The present disclosure concerns a method to train, on a computing device, a machine-learning model adapted to determine a dysfunction of a monitored vehicle electronic control unit (ECU) or vehicle embedded computer. In aspects, the computing device stores, in a memory, historical data from a plurality of ECUs having a dysfunction. The historical data may include usage values over a period of time of at least one ECU resource by applications running on the ECUs. Further, the computing device may process the historical data to obtain two-dimensional training files. In implementations, each usage value may be linked with a specific application in a first dimension and a specific time in a second dimension. Still further, the computing device may train a machine-learning model with the training files.

Abstract: A computer implemented method for filtering portions of an image comprises the following steps carried out by computer hardware components: dividing the image into a plurality of segments, each segments comprising a plurality of pixels; for each of the segments, determining at least one of an expected value, a standard deviation, and a kurtosis of the plurality of pixels of the respective segment; clustering the plurality of segments into a plurality of clusters based on the at least one of the expected value, the standard deviation, and the kurtosis of the plurality of pixels of the respective segment; for each of the clusters, determining the respective cluster as belonging to a background based on a size of the respective cluster; and determining a filtered image based on the background.

Abstract: A driver assistance system for a vehicle having a decision engine and a plurality of active object-detection sensors including two radar sensors mounted at opposed locations on the vehicle relative to a longitudinal centerline of the vehicle. A field of view of each radar sensor is directed away from the centerline and forward of the vehicle and overlaps with the field of view of the other radar sensor in a region of overlap crossing the centerline forward of the vehicle. The decision engine receives signals from the sensors and determines the presence of an object in the regions of overlap on the basis of signals from only each of the two radar sensors among the active object-detection sensors of the system. The decision engine is thus able to command vehicle functions such as braking or acceleration on the basis of the determination.

Abstract: This document describes techniques and systems for frequency division multiplexing (FDM) with polyphase shifters. A radar system can include transmitters, receivers, polyphase shifters, and a processor. The transmitters emit electromagnetic (EM) signals in an FDM scheme, and the receivers detect EM signals reflected by objects. The received EM signals include multiple channels. The processor controls the polyphase shifters to introduce phase shifts to the EM signals. The processor can also divide a Doppler-frequency spectrum of the received EM signals into multiple sectors representing a respective frequency range. Each channel is associated with a respective sector. The processor can determine, using non-coherent integration across the sectors, potential detections of the objects, including aliased and actual detections. The processor can then determine the actual detections. In this way, the described FDM techniques with polyphase shifters can resolve Doppler ambiguities in received EM signals.

Abstract: A connection device includes a housing, a power contact disposed within the housing, and a printed circuit board mounted in the housing having a first face provided with a first metal pad which is located between the printed circuit board and a surface of the power contact, and a second face provided with a first temperature sensor which is arranged opposite the first metal pad. A method of electrical connection to a vehicle to a charging cord provided with a charging socket is also provided.

Abstract: A computer implemented method for determining a conversion rule for an object prediction model may include the following steps carried out by computer hardware components: determining a plurality of predictions based on sensor data using the object prediction model, wherein each prediction may include a respective prediction value and a respective confidence value of the respective prediction value; determining the conversion rule for the object prediction model by carrying out the following steps: determining a plurality of sampling values for assessing a performance of the object prediction model; for each sampling value of the plurality of sampling values, determining a corresponding statistical value based on ground-truth data and the plurality of confidence values, wherein the ground-truth data may be associated with the sensor data; and determining the conversion rule for the object prediction model based on the plurality of sampling values and the plurality of corresponding statistical values.

Abstract: The present disclosure relates to a computer-implemented method for determining a radial velocity of an object in a surrounding of a vehicle, the method comprising the steps of: obtaining measurement data from a radar, the measurement data comprising signal data indicative of a measured radial velocity of the object, mapping the measured radial velocity of the object to a plurality of radial velocity intervals, determining, using an artificial intelligence (AI) engine, a probability value for each interval of the plurality of radial velocity intervals based on supplemental measurement data, and determining the radial velocity of the object by selecting an interval of the plurality of radial velocity intervals based on the probability value. The disclosure further relates to a corresponding apparatus, computer program and vehicle.

Abstract: Described are cables for connecting components of computing systems. The cables improve automation and resulting performance of high frequency and/or high speed signal transmissions by providing reliable transmission paths between hardware components. An example cable includes parallel conductors and a dielectric core that secures the parallel conductors along the length using parallel channels in opposite sides of the dielectric core. An alignment structure is also formed in the dielectric core, which has a shape along the length of the cable. A cable jacket surrounds the parallel conductors and the dielectric core. The cable jacket is contoured to follow the shape of the alignment structure. The dielectric core can be formed to maintain consistent separation between the parallel channels along the length of the cable to match impedance of the parallel conductors along the length of the cable, whether the cable lays flat or bends around corners.

Abstract: A method is provided for classifying a tracked object in an environment of a vehicle. The vehicle includes a plurality of radar sensors and a processing device configured to establish a neural network. According to the method, local radar detections are captured from an object in the environment of the vehicle via the radar sensors. Based on the local radar detections, point features and tracker features are determined. The point features are encoded via point encoding layers of the neural network, whereas the tracker features are encoded via track encoding layers of the neural network. A temporal fusion of the encoded point features and the encoded tracker features is performed via temporal fusion layers of the neural network. The tracked object is classified based on the fused encoded point and tracker features via classifying layers of the neural network.

Abstract: A windshield-wiper system includes a precipitation-detector, a windshield-wiper actuator, an object-detector, and a controller. The precipitation-detector detects precipitation proximate to a host-vehicle. The windshield-wiper actuator clears the precipitation from a windshield of the host-vehicle. The object-detector detects a distance of an object to the host-vehicle. The controller is in communication with the precipitation-detector, the windshield-wiper actuator, and the object-detector. The controller determines when the precipitation is present based on the precipitation-detector, determines the distance from the object to the host-vehicle based on the object-detector, and adjusts a speed of the windshield-wiper actuator when the precipitation is detected and the object is less than a distance-threshold away from the host-vehicle.

Abstract: A high voltage power cable including an insulating body which incorporates a polymer. The insulating body defines an interior channel configured to receive a coolant. The high voltage power cable further includes an electrical conductor buried in the insulating body.

Abstract: A power conductor for conducting electricity between a power source and a load is disclosed. A conductive body connects between the power source and the load. A sealed chamber is provided in the interior of the conductive body and contains a working fluid for changing phase when heated. A circuit, a vehicle power distribution circuit, and a vehicle incorporating the same are also disclosed.

Abstract: A method is provided for determining a contour of an object with respect to a sensor being configured to provide sensor detections, each sensor detection including a respective position at the object. An initial contour including a plurality of segments is determined, each segment being related to a respective initial subset of the sensor detections. A respective surrounding set of the sensor detections is associated with each segment of the initial contour. A respective weight is provided to each of the sensor detections, each weight depending from a relative position of the sensor detection with respect to the associated segment. Each segment of the initial contour is refined by using the weights of the sensor detections of the respective surrounding set associated with the respective segment in order to determine a final contour including the refined segments for the object.

Abstract: A computer implemented method for displaying information to an occupant of a vehicle comprises the following steps carried out by computer hardware components: determining data associated with radar responses captured by at least one radar sensor mounted on the vehicle; and determining a visualization of the data; and displaying the visualization to the occupant of the vehicle.

Abstract: A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Abstract: A retention clip is described herein. The retention clip has a first portion configured to temporarily deform upon insertion into a slot of a mounting location and prevent the retention clip from retracting through the slot once inserted. The retention clip also has a second portion configured to attach the retention clip to a component via a first torque of a fastener interfacing with the second portion. The retention clip further has a third portion configured to abut against a surface of the component and deform under s second torque of the fastener such that the first portion and the second portion are translated along an attachment axis toward the component. The retention clip allows for locating and securing the component with a single fastener via two stages. Accordingly, mounting of the component may be cheaper, less complex, and quicker.

Abstract: An electromagnetic band-gap (EBG) structure includes an antenna substrate layer, first conductive regions, and second conductive regions. The antenna substrate includes a first planar surface and a second planar surface. The first conductive regions are located on the first planar surface of the antenna substrate and separated from adjacent first conductive regions by a first distance. The second conductive regions are located on the first planar surface of the antenna substrate and are separated from the first conductive regions by a second distance and wherein the second conductive regions at least partially surround the first conductive regions.

Abstract: A radar device for automotive applications comprises a radar circuit configured to process a radar signal that has a first signal portion and a second signal portion, wherein the first signal portion occupies a first frequency band and the second signal portion occupies a second frequency band that is separate from the first frequency band. An antenna device of the radar device comprises a first and second antenna element that are both coupled to a common signal port of the radar circuit and the radar device is configured to route both the first signal portion and the second signal portion via the common signal port between the radar circuit and the antenna device. The antenna device is a frequency selective antenna device that transduces the first signal portion via the first antenna element and not via the second antenna element and that transduces the second signal portion at least via the second antenna element.

Abstract: An electrical connector includes a pair of electrical contacts between which two electrical bus bars are received. Each electrical contact in the pair of electrical contacts having a central base, a first plurality of contact fingers extending longitudinally from the base, and a second plurality of contact fingers extending from the base in the opposite direction. The electrical connector also includes a spring assembly having a retaining band configured to secure the pair of electrical contacts within the electrical connector. The spring assembly further has a first plurality of spring fingers extending longitudinally from the retaining band in the first direction, and a second plurality of spring fingers extending longitudinally from the retaining band in the second direction. A spring finger of the first or second plurality of spring fingers is in compressive contact with at least one contact finger of the first and second plurality of elongate contact fingers.

Abstract: A system for estimating a trajectory of a vehicle includes vehicle state sensors detecting a state of movement of the vehicle and environment sensors monitoring an environment of the vehicle. A free space module determines a free space corridor based on the detected state of movement of the vehicle and the monitored environment of the vehicle. A goal point determination module determines at least one goal point for the trajectory to be estimated based on the free space corridor. A trajectory planning module estimates a reference trajectory based on the at least one goal point and calculates a deviation between an actual trajectory and the reference trajectory of the vehicle. A trajectory control module minimizes the deviation between the actual trajectory and the reference trajectory of the vehicle and outputs optimal control parameters for the movement of the vehicle based on the minimized deviation.