Abstract: The disclosure relates to a method for determining a target trajectory for a motor vehicle operated in at least semi-automated fashion on a single-lane road with potential oncoming traffic by way of an assistance system. The method includes: capturing surroundings of the motor vehicle with the single-lane road and with a lateral boundary marker of the single-lane road by way of a capture device of the assistance system; receiving swarm data about a trajectory that can potentially be taken on the single-lane road; determining the target trajectory by moving the trajectory that can potentially be taken by way of an electronic computing device of the assistance system in such a way that a predefined minimum distance from the lateral boundary marker is kept by way of the target trajectory. The disclosure also relates to a computer-readable medium and to an assistance system.

Abstract: A motion planning system and method for motion planning of an autonomous vehicle are provided, wherein a motion planning system determines a plurality of configuration samples through a configuration space, wherein the configuration samples are determined in predefined sampling steps, wherein a sequence of configuration samples defines a possible trajectory of the vehicle in the configuration space, wherein the plurality of configuration samples in each sampling step, are determined in parallel by using at least one graphics processing unit of the motion planning system, wherein sequences of configuration samples are calculated from all configuration samples by predefined motion criteria, and wherein the calculated sequences of configuration samples are provided as vehicle trajectories for motion of the vehicle.

Abstract: The disclosure relates to a method for checking plausibility of at least one portion of a driving trajectory for a vehicle. First, the portion of the driving trajectory is provided by way of a storage unit external to the vehicle based on swarm data. For a roadway of the vehicle, at least one segment of a roadway boundary is sensed by way of a sensing unit of the vehicle during the operation of the vehicle. The at least one portion the driving trajectory is compared with the at least one segment of the roadway boundary based on a first plausibility condition. The at least one first marking portion is compared with the at least one segment of the roadway boundary based on a second plausibility condition. The plausibility of the at least one portion is checked in accordance with the comparisons.

Abstract: The disclosure relates to a method for operating a sensor circuit in a motor vehicle, wherein a processor in the sensor circuit receives a reflection signal from an environment of the motor vehicle by way of an environmental sensor and ascertains from the reflection signal a particular detection point, which describes a relative position of a reflection event with respect to the motor vehicle. The disclosure involves the processor using pattern data to establish a surface region in the environment and a category of the surface region and checking for the detection point whether it lies in the surface region, and the detection point which lies in a surface region is categorized according to the pattern data of the surface region and the detection point is filtered according to its categorization by way of a filtering action for trajectory planning of a driving trajectory of the motor vehicle.

Abstract: The disclosure relates to a computer-implemented method of expanding swarm data for controlling a motor vehicle by way of a driver assist system, wherein the swarm data for a route section include corresponding indicator swarm data regarding a course of at least two roadway or lane indicators on the route section, and wherein the swarm data are provided by registered roadway or lane indicator data. The method includes calculating, from the indicator swarm data, a minimum indicator swarm distance regarding the at least two roadway or lane indicators at one or more route section positions of the route section, and expanding the indicator swarm data regarding at least one of the at least two roadway or lane indicators with the indicator swarm distance at the one or more route section positions.

Abstract: A method for consumption optimization of fully automated or partially automated driving maneuvers of a motor vehicle is provided. The disclosure provides that a self-learning system is operated by a processor circuit, and by way of which driving situation data is received, and the driving situation data is provided to a model of machine learning as input variables and the model is used to generate a specification signal for the at least one driver assistance system from the input variables, and consumption data of a consumption measurement is received and the consumption data is mapped on an evaluation signal by way of an evaluation function, and a training algorithm that trains the model is signaled by way of the evaluation signal, if, for the respective driving situation, the used specification is to be retained or enhanced or avoided.

Abstract: The disclosure relates to a method and a system for checking plausibility of a vehicle environment hypothesis for a motor vehicle. The method includes providing the vehicle environment hypothesis, which is identified from predefined data and provides an assumption about a characteristic of surroundings of the motor vehicle, detecting environmental features in the surroundings of the motor vehicle by way of a sensor system including a plurality of sensors; evaluating the environmental features with respect to the plausibility of the vehicle environment hypothesis by way of checking each environmental feature of the environmental features for a presence of one or more plausibility criteria, the one or more plausibility criteria depending on a type of the environmental feature and a type of sensor with which the environmental feature was detected; and checking the plausibility of the vehicle environment hypothesis based on the evaluating of the environmental features.

Abstract: The disclosure relates to a method for operating a control system of a vehicle that includes at least two controllers, wherein, for data transfer, the controllers are at least temporarily communicatively linked via a network, wherein the data transfer in the network takes place according to a round-robin method, so that all controllers are assigned temporally consecutive transmission slots for data transfer and wherein at least one controller is configured, at least temporarily, as a server controller and wherein at least one controller is configured, at least temporarily, as a client controller.

Abstract: The disclosure relates to a method for checking plausibility of a trajectory generated based on swarm data for a first motor vehicle, which is operated in an at least partially assisted manner. The method includes: receiving the swarm data, detecting a second motor vehicle in a surrounding area of the first motor vehicle by a detection device, determining a driving trajectory of the second motor vehicle, comparing the trajectory generated based on the swarm data with the driving trajectory of the second motor vehicle, and checking the plausibility of the swarm data based on the comparing. The disclosure further relates to a computer-readable medium and to an assistance system.

Abstract: The disclosure relates to a motor vehicle and a method for summarizing a conversation in a motor vehicle. The method involves determining by a vehicle sensor device whether a challenging driving task is present; if the challenging driving task is present, masking a conversation in the motor vehicle for a driver by generating counter noise; recording the conversation in the motor vehicle by at least one vehicle microphone; summarizing the conversation by artificial intelligence; outputting a summary of the conversation to the driver after determining that the challenging driving task is no longer present; and deactivating the counter noise after the outputting the summary of the conversation.

Abstract: A method is provided for the spatial characterization of at least one vehicle image of image information, wherein the image information encompasses the vehicle image of an external vehicle and an environment image of an environment of the external vehicle. The method comprises: determining a bounding box for the vehicle image, in order to use the bounding box for a delimiting of the vehicle image from the environment image, determining a splitting line for the bounding box, in order to use the splitting line for a partitioning of the vehicle image into at least two vehicle sides, determining the spatial characterization with the aid of the bounding box and the splitting line, wherein at least one evaluation means based on machine learning, especially a neural network, is used for the determining of the bounding box and the splitting line.

Abstract: The invention relates to a method for checking the fitness of a driver to drive a motor vehicle (10) and to a motor vehicle (10) for carrying out a method of this kind.

Abstract: The disclosure relates to a method for deleting user data in a motor vehicle. The method includes storing user data in an eUICC chip of a communication controller that enables user access to a mobile radio network, the user profile data including setting data of a device setting performed during use of the motor vehicle by at least one user in at least one other controller different from the communication controller, and receiving a delete command for removal of the user profile data in the communication controller by a profile assistant module of the communication controller from a server computer, the profile assistant module being coupled to a data management module of the motor vehicle, executing the delete command, wherein the user access to the mobile radio network is prevented by executing the delete command, and sending a clearing command by the profile assistant module to the data management module.

Abstract: The disclosure relates to a method for outputting a navigation instruction in a motor vehicle to head toward a possible stopping point, wherein a navigation system of the motor vehicle determines a current speed of the motor vehicle and at least one topology parameter in a predetermined vicinity of a previously determined possible stopping point and determines a time at which the outputting of the navigation instruction to the user to head toward the possible stopping point should occur, at least in dependence on the determined current speed and the at least one determined topology parameter. At the determined time, the navigation system outputs the navigation instruction to the user to head toward the possible stopping point. The disclosure furthermore relates to a server device that provides electronic map data to a navigation system of a motor vehicle in order to carry out such a method.

Abstract: The disclosure relates to a method for operating a vehicle interior monitoring system including at least one camera unit. A control device sets an adjustable camera parameter of the camera unit by a camera-specific control command in the camera unit and receives and evaluates at least one image recorded by the camera unit, and a result of the evaluation is output as a camera-specific result datum. The control device generates a general control command that sets the adjustable camera parameter of the camera unit, the general control command is converted based on a camera configuration of the camera unit saved in the control device into the camera-specific control command, the camera-specific result datum is converted based on the camera configuration of the camera unit saved in the control device into a general result datum, and the general result datum of the camera unit is provided to a data fusion device.

Abstract: A method for localizing a motor vehicle in an environment during a driving operation comprises, by a processor circuit in repeated estimation cycles, receiving sensor data of landmarks of the environment from an environment sensor, and ascertaining a respective estimated position of the motor vehicle from feature data, which are formed of map data of a map region of the environment and of the sensor data, using an estimation module. A movement path is estimated from the positions of multiple of the estimation cycles using a statistical observer model, and the observer model, during the formation of the movement path, models measurement noise contained in the position data as a covariance matrix of position coordinates of the position data, with matrix values of the covariance matrix being ascertained by the estimation module as a function of the sensor data and the map data.

Abstract: A method for performing a checking of a person, such as a vehicle passenger, by way of infrared radiation involves determining the distance between a source of infrared radiation and the person by way of light according to a distance definition and setting the intensity of the infrared radiation in dependence on the distance as determined.

Abstract: Automatically moving a vehicle based on defined sequences on private grounds, which are passed by the automatically moved vehicle one after the other. Thereby it is may be easier to perform automated driving.

Abstract: The invention relates to a method (100) for generating a data set (60) for training and/or testing a machine learning system (50), comprising: providing (101) image data that are specific for depictions in which different environment scenarios are represented, providing (102) metadata (65) that are specific for a description of the different environment scenarios, creating (103) text prompts (70) based on the provided metadata (65), using information contained in the metadata (65) for the text prompts (70), generating (104) the data set (60) based on the created text prompts (70) and preferably the provided image data.

Abstract: A method for training an artificial neural generator network for the generating of synthetic landmark images is provided, in which landmark images are extracted from at least one training map as training data, which form a first training data set, and the generator network as a generator of a generative adversarial network learns with the aid of the first training data set and with the aid of real, non-annotated image data, recorded by a sensor device, to generate synthetic landmark images which are suited to reproducing the probability distribution underlying the first training data set. The invention also relates to a method for training an artificial neural localization network by the trained generator network and a method for determining a position of a mobile unit with at least one sensor device and at least one environment map by the trained localization network.