Abstract: A method for planning a driving maneuver trajectory is disclosed. The method includes 1) evaluating a current driving situation; 2) ascertaining an adapted driving maneuver based on the evaluated driving situation; 3) calculating a number of working points of the trajectory on the basis of the evaluated driving situation and the ascertained driving maneuver; 4) discretizing the current surroundings information and/or vehicle information at each of the working points of the trajectory; 5) selecting and integrating relevant surroundings data for each working point based on domain-specific information; 6) linearizing the selected and integrated surroundings data; 7) using the linearized surroundings data to formulate a QP model; 8) solving the QP model by means of a QP solver; and 9) repeating 1) to 8) on the basis of a convergence of the solution, wherein upon repeating steps 1) to 8), the solution of the QP solver is taken into consideration.

Abstract: A coherently working lidar system for capturing the surroundings, which emits a phase-modulated signal, wherein the phase of said signal is produced by switching between discrete values from a sequence of phase values, and the times of the phase switching form a subset of an equidistant time raster. The system receives the signals reflected back from objects and converts the signals into a low-frequency signal by mixing and digitizing them in a receive sequence. The system determines the time shift and frequency shift of signals reflected by objects from said receive sequence. The phase modulation sequence includes two periodically interleaved sequences, wherein the first sequence has constant or periodic phase values and primarily serves to determine the frequency shift, whilst the second sequence substantially changes irregularly between phase values and serves to determine the time shift.

Abstract: A terminal assembly, comprising a terminal connector having a shield, a grounding part, in particular a housing, and a connection device which is arranged in order to capacitively connect the shield and the grounding part, wherein the connection device contacts the shield and the grounding part, and the connection device comprises a first electrically conductive contact and a second insulating contact, wherein one contact contacts the shield and one contact contacts the grounding part.

Abstract: Examples present a method for at least one dimension belonging to a reflective surface of an object including: a lidar acquiring a set of points; selecting light beams from a group of points of the same object; estimating, from the three-dimensional coordinates of the points, the values of a first and of a second dimension of the object; estimating, from the intensity values of the points, a reflectivity value for the object; then for at least one specific point in the group: estimating a cross section of a light beam; estimating a theoretical intensity value received by the lidar sensor after the beam is emitted; determining an intensity error associated with the specific point from a difference between the estimated theoretical intensity and the measured intensity; and correcting the estimate of the value of the first dimension on the basis of the intensity error.

Abstract: A method for characterizing an object in the surroundings of a motor vehicle in which method the motor vehicle is moved relative to the object and ultrasonic signals are emitted with an ultrasonic sensor. Echoes of the ultrasonic signals reflected by the object are received, respective amplitudes of the received echoes are determined, and a classification of a height of the object is established based on the amplitudes.

Abstract: The disclosure relates to a data processing device for a LiDAR sensor mounted on a vehicle. The data processing device is used to determine whether groups of pixels of a matrix of pixels obtained by the LiDAR sensor correspond to clouds of particles, notably based on a distribution of normal vectors associated with these pixels.

Abstract: A method for generating a high-resolution point cloud includes generating a first point cloud based on first sensor data, generating a semantic occupancy grid based on the first point cloud, generating a second point cloud based on at least one of a second sensor data and a third sensor data, combining the semantic occupancy grid with the second point cloud to result in a third point cloud, and generating a fourth point cloud by an image synthesis neural network. The fourth point cloud is generated based on the third point cloud. Resolution of the fourth point cloud is higher than resolution of any one of the first point cloud, the second point cloud and the third point cloud.

Abstract: The present disclosure relates to a method and a device for detecting individual free marked target areas such as, e.g., parking/landing/docking places, from images of a camera system) of a movement device by means of a machine learning system, and to a method for training the machine learning system. The method for segmenting and identifying individual free marked target areas includes the steps of: capturing at least one image of the environment of the movement device by means of the camera system; segmenting the individual free marked target areas from the at least one image by means of a machine learning system trained; and outputting, to a control unit, a first segment which corresponds to the individual free marked target area and second segments of at least one additional class of the captured environment of the movement device.

Abstract: A method is disclosed for replanning a parking trajectory of a vehicle during an at least semiautomatic parallel parking process following the reception of information that a pre-planned parking trajectory for the parallel parking process has to be replanned.

Abstract: Systems, apparatuses, and methods for implementing a safety framework for safety-critical Convolutional Neural Networks inference applications and related convolution and matrix multiplication-based systems are disclosed. An example system includes a safety-critical application, a hardware accelerator, and additional hardware to perform verification of the hardware accelerator. The verification hardware has a lower bandwidth than the hardware accelerator, so more machine cycles are required per calculation. A mismatch in the result indicates a faulty processing element.

Abstract: The present disclosure relates to a camera system, in particular a surround-view camera system for a vehicle, including a control device, multiple cameras arranged in/on the vehicle, and a controller which is arranged in/on an additional vehicle, in particular a trailer. Multiple additional cameras or trailer cameras are arranged in/on the additional vehicle or trailer. The control device generates a view by means of the cameras. The controller generates a view by means of the trailer cameras, and a combined view is generated from the views of the control device and the controller.

Abstract: The present disclosure relates to a method and system for displaying surround view in a vehicle. A first image is captured at a first time instant and a second image is captured at a second time instant, from a camera mounted on the vehicle. The first image is different from the second image. While capturing the first and second images, one or more vehicle motion parameters from one or more sensors associated with the vehicle are received. Further, a corrected image is composed using the first image, the second image and the one or more vehicle motion parameters. Thereafter, the corrected image is displayed on a display unit of the vehicle.

Abstract: Method for determining cleaning information for a camera sensor which includes a blockage on a transparent camera sensor component in an optical camera sensor path, the method including: processing a captured camera image with a neural network algorithm which determines as an output a degree of camera sensor blockage by segmenting a part of the camera image and a camera sensor blockage class by classification of a part of the camera image, determining cleaning information dependent on the camera sensor blockage degree and the camera sensor blockage class, wherein the cleaning information describes that a cleaning of the camera sensor is required if a cleaning criterion is assigned to the determined camera sensor blockage class and if a degree threshold is exceeded by the determined camera sensor blockage degree, and transmitting the cleaning information to a camera sensor cleaning device to clean the camera sensor.

Abstract: A vehicle and method for facilitating detecting an object fallen from the vehicle. The vehicle includes: a camera to obtain an image of an object for storing prior information when the object is loaded into the vehicle, and an image of vehicle front surroundings and an image of vehicle rear surroundings when the vehicle is moving; and a control unit to detect an object from the front surroundings image and an object from the rear surroundings image using the prior information, and to compare the detected object from the front surroundings image with the detected object from the rear surroundings image. I If the object is not detected from the front surroundings image but detected from the rear surroundings image, the control unit determines that the object has fallen from the vehicle, and controls an output unit to output a signal.

Abstract: This disclosure relates to a computer-implemented method for processing sensor data points by means of a data processing hardware where a distributions buffer for storing an initial plurality of Gaussian distributions is initialized, each Gaussian distribution of the initial plurality of Gaussian distributions including an initial plurality of sensor data points received sequentially from at least one sensor and having an associated predetermined distribution distance threshold, and where the distributions buffer is sequentially updated for a number n of new sensor data points based on a distribution distance condition, generating an updated plurality of Gaussian distributions including either a new Gaussian distribution, or an updated single Gaussian distribution or an updated merged Gaussian distribution.

Abstract: A camera system for a vehicle includes two cameras to generate a camera view from camera images, with the cameras designed to capture objects at different distances from the vehicle and a scene generated based on the disparity of an object, with the disparity of the object arising from the distance of the object from the camera and the baseline spacing of the cameras from one another. At least two virtual cameras with a virtual baseline spacing from one another is created, the virtual baseline spacing of and the camera baseline spacing differing to allow the the scene to be captured with different disparities, and the camera view generated based on camera images from the cameras and the virtual cameras. The displayed camera image of the camera view is generated from the camera images and the perspective being defined by the virtual cameras using the disparity of the scene.

Abstract: A control device for a vehicle, comprising a calculation region and a verification region, wherein the calculation region is set up to calculate trajectories and to output driving commands, and the verification region comprises two verification platforms which are separate from one another. The verification platforms each comprise a driving command and input monitor for monitoring the calculated trajectories as well as a communication device for connecting the verification platforms to one another and to the calculation region.

Abstract: A method for correcting a position of at least one feature in the surroundings of an ego vehicle by means of a fusion of data from at least a first and a second surroundings detection sensor, including: recording the surroundings of the ego vehicle using the first surroundings detection sensor and generating a first representation of the surroundings; recording the surroundings of the ego vehicle using the second surroundings detection sensor and generating a second representation of the surroundings; detecting at least one feature in the first representation of the surroundings; determining the position of the at least one feature based on the first representation of the surroundings; determining a height profile in an area in front of the ego vehicle based on the second representation of the surroundings; fusing the position of the at least one detected feature and the determined height profile and determining a corrected position; and correcting the position of the at least one feature based on the determi

Abstract: A method and system for improving real-time false positive reduction, in which first and second sensor data of a potential object in a common portion of an environment of a motor vehicle are compared. Upon determining that there is a discrepancy in the first and second sensor data in relation to the object, an analysis by synthesis is performed on the first sensor data. If the analysis results in a match, then the first sensor data are validated and can be used for generating a control signal for an autonomous vehicle. If the analysis results in a mismatch, the first sensor data are excluded from generating the control signal. In case of no discrepancy between the first and second sensor data, both are used in generating the control signal.

Abstract: The present disclosure relates to a method for a camera system, in particular a surround-view camera system, for a vehicle, which has a control device, multiple surround-view cameras, and a display apparatus. The method includes: generating an original image (step I), generating a simulated image of the original image, the simulated image simulating a coloration of the original image resulting from an ascertainable visual impairment, generating a differential image between the original image and the simulated image, determining edges in the differential image, generating a superimposed image by superimposing the original image and the edges of the differential image, and displaying the superimposed image using the display apparatus.