Abstract: The present invention relates to a process for preparing a vegan edible product from edible non-animal proteins which comprises the following steps i to iii.: (i) providing a malleable mass by mixing the following components: a) 7 to 20% by weight, in particular 10 to 18% by weight and especially 13 to 16% by weight, based on the total weight of the malleable mass, of an edible protein component A, which is selected from the group consisting of edible vegetable protein materials, microbial protein materials and mixtures thereof; b) 1 to 3.3% by weight, in particular 1.1 to 2.8% by weight, especially 1.2 to 2.3% by weight, based on the total weight of the malleable mass, of a water-soluble organic polymeric gelling agent which is capable of being gelled by calcium ions as a component B, which is a water-soluble polysaccharide bearing carboxyl groups or a water soluble salt thereof; c) optionally 0.05 to 1% by weight, in particular 0.1 to 0.9% by weight, especially 0.2 to 0.

Abstract: The present invention relates to a process for preparing an edible product, in particular a vegan edible product from edible non-animal proteins which comprises the following steps i. to iv.: i.

Abstract: Methods and systems for multi-hypothesis object tracking for automated driving systems. One system includes an electronic processor configured to receive environment information and generate pseudo-measurement data associated with an object within an environment of the vehicle. The electronic processor is also configured to determine, based on the environment information and the pseudo-measurement data, a set of association hypotheses regarding the object. The electronic processor is also configured to determine, based on the set of association hypotheses, an object state of the object. The electronic processor is also configured to control the vehicle based on the determined object state.

Abstract: A method for processing sensor data representing one or more objects. The method includes semantically segmenting the sensor data so that the sensor data are divided into sensor data portions so that, for each of the one or more objects, a respective sensor data portion contains that part of the sensor data that represents the object; ascertaining, for a processing task through which the sensor data are to be processed, a division of the processing task into subtasks comprising at least one subtask to be outsourced, wherein it is ensured that each subtask to be outsourced processes respective sub-data of the sensor data, which sub-data contain, for each sensor data portion, at most a part of the sensor data portion; and outsourcing the at least one subtask to be outsourced.

Abstract: A method for carrying out data processing. The method includes: creating, by one or more human programmers, a first computer program for a predetermined data processing task; creating a plurality of second computer programs for the predetermined data processing task, wherein each of the computer programs is created by an artificial intelligence; processing an input by the first computer program to ascertain a first processing result, and processing the input by each of the plurality of second computer programs to ascertain a respective second processing result; ascertaining a number of computer programs among the second computer programs whose second processing result contradicts the first processing result; checking whether the number of computer programs among the second computer programs whose second processing result contradicts the first processing result is greater than a predetermined threshold, which is greater than or equal to two; and initiating a safety measure.

Abstract: A method for location-dependent verification of a teleoperator for remote control of a vehicle. At its current location, the vehicle repeatedly and automatedly performs the following: receiving, from the teleoperator, during remote control by the teleoperator, a response message requested via a network, ascertaining a current value of at least one network-dependent property of the received response message, determining a target value of the at least one network-dependent property, verifying the teleoperator by means of a verification of the current value of the at least one network-dependent property and of the determined target value based on a test condition, wherein in the case of a positive test result of the check, the teleoperator is authorized to perform the remote control of the vehicle, and in the case of a negative test result of the check, the vehicle terminates the remote control and/or sends a safety warning.

Abstract: A method for validating safety precautions for vehicles moving in an at least partially automated manner, based on triggering events and safety metrics. The method includes: receiving, from one or from each of a plurality of vehicles moving in an at least partially automated manner, operating data of the vehicle present and/or recorded at the time, regarding the triggering event and/or safety metric, if at the time in the vehicle, one or at least one of a plurality of triggering events associated therewith is met and/or one or at least one of a plurality of safety metrics associated therewith exceeds or falls below a threshold value; analyzing the received operating data, correlations of triggering events, occurring at more than a predetermined frequency, and/or safety metrics being determined with respect to static and/or dynamic vehicle data of the one or of the plurality of vehicles; and providing the determined correlations.

Abstract: A method for determining a minimal risk maneuver (MRM) on a route in order to obtain a minimal risk condition (MRC) for a vehicle. The method includes: determining a first proposal for at least one part of the MRM to be determined, wherein the first proposal is ascertained from data from a first, on-board data source of the vehicle; determining a second proposal for the at least one part of the MRM to be determined, wherein the second proposal is ascertained from data from at least one second, off-board data source; aggregating the first proposal and the second proposal into the at least one part of the MRM, and/or selecting the first proposal or the second proposal as this at least one part of the MRM, on the basis of a predetermined evaluation criterion.

Abstract: Methods and systems for determining an action for a vehicle. The system includes an electronic controller configured to determine a planned route of the vehicle, determine local astronomical data based upon the planned route, compare the local astronomical data to the planned route of the vehicle to determine a probability of completion of the planned route, and if the probability of completion is below a threshold, generate a command indicating an action for the vehicle.

Abstract: A method for fusing environment-related parameters includes providing at least one environment-related parameter of a first sensor system; providing at least one environment-related parameter of a second sensor system; providing at least one respective boundary condition that existed when the respective at least one environment-related parameter of the respective sensor system was determined; assigning the at least one respective boundary condition to the respective at least one environment-related parameter of the respective sensor system; providing an evaluation scheme which assigns weighting factors to the respective environment-related parameter of the respective sensor system depending on the respective boundary conditions; and fusing, with a fusion device, the at least one environment-related parameter of the first sensor system with the at least one environment-related parameter of the second sensor system according to the assigned weighting factors to determine the representation of the environment of

Abstract: A system for a reliability of objects for a driver assistance or automated driving of a vehicle includes a plurality of sensors that include one or more sensor modalities for providing sensor data for the objects. An electronic tracking unit is configured to receive the sensor data to determine a detection probability (p_D) for each of the plurality of sensors for each of the objects, to determine an existence probability (p_ex) for each of the plurality of sensors for each of the objects, and to provide vectors for each of the objects based on the existence probability (p_ex) for each contributing one of the plurality of sensors for the specific object. The vectors are provided by the electronic tracking unit for display as an object interface on a display device. The vectors are independent from the sensor data from the plurality of sensors.

Abstract: A navigation map for an at least partially automated mobile platform (130) is proposed, comprising: Descriptions of courses of a plurality of lanes (120), each lane (120) of the plurality of lanes having a plurality of lane segments (150); and Off-road environment data (140) of the plurality of lanes (120), wherein the off-road environment data is assigned to respective lane segments (150) of the respective lane (120), and wherein the off-road environment data includes an emergency drivability rating for an off-road environment (140) of the respective lane segment (150).

Abstract: A method for controlling a robotic device. In the method, for a version of a control software which is not the initial version of the control software for which the test values delivered by the tests at least partially do not fall within predefined ranges, it is checked whether that version of the control software fulfills safety criteria that have been created for a previous version (and are fulfilled by that version) for which the test values delivered by the tests at least partially do not fall within the predefined ranges, but was safe. If this is the case, the robotic device is controlled with that version of the control software.

Abstract: A computer-implemented method for planning an allocation of at least one computational task from a computational resource comprised in at least one vehicle to one or more of a plurality of external computational resources in a vehicular communications network. The method comprises obtaining a spatial representation of a region characterising at least one route of a vehicle from a first location to a second location, and data characterising an availability of external computational resources at a plurality of locations in the region, providing at least one computational requirement indication of at least one atomic computational task required by the vehicle during a prospective movement of the vehicle from the first location to the second location, comparing the at least one computational requirement indication to the data characterising the availability of external computational resources at the plurality of locations in the region.

Abstract: A method for processing sensor data includes assessing the sensor data of a sensor using metadata of the sensor as well as sensor data of at least one additional sensor using the metadata of the additional sensor, in order to receive assessed sensor data of the sensors. The method further includes merging the assessed sensor data in order to receive merged sensor data.

Abstract: A method for monitoring a vehicle system configured to detect an environment of a vehicle, wherein the vehicle system has a sensor system with at least two sensor units configured to capture the environment of the vehicle, and an evaluation unit configured to detect objects in the environment of the vehicle by merging sensor data of the at least two sensor units. The method includes, for each of the detected objects, using sensor data to determine separately for each of the at least two sensor units a probability of existence indicating a probability of the detected object representing a real object, and a probability of detection indicating a probability with which the detected object can be captured by the sensors. The method includes determining whether the vehicle system is in a robust state based on the probability of existence and the probability of detection.

Abstract: A method for operating a management program provided to manage at least one intervention from at least one application program to at least one component of the motor vehicle. In the method, when establishing the extent of the at least one intervention, information describing a driving mode of the vehicle is taken into account.

Abstract: A method for operating a management program that is provided to manage at least one intervention from at least one application program in a motor vehicle into at least one component of the motor vehicle. When establishing the extent of the at least one intervention, information being made available from outside of the vehicle is taken into account.

Abstract: A method for evaluating suitability route sections of a digital map storing landmarks for automated driving operation of a vehicle is provided. For each route section of the digital map a spatial density of landmarks is determined, an expected recognizability of the landmarks is determined by a vehicle sensor system under predetermined ambient conditions, a classification is performed based on the determined density and recognizability of the landmarks as to whether a vehicle can be located on the route section with a minimum accuracy required for a predetermined operating mode and/or for a predetermined driving maneuver, and a classification result is stored as a data record in a route attribute associated with the route section, the route attribute indicating for which of the predetermined operating modes and/or driving maneuvers requirements for the minimum accuracy of the landmark-based vehicle localization are met under which of the predetermined environmental conditions.

Abstract: A method for providing a function by a group of computing units in which computation instances are executed, each computation instance implementing the function using at least one algorithm and being set up to determine at least one result in response to a call of the function. The method includes: determining an integrity level for each of the computation instances; receiving a function request from a subscriber, the function request including a quality requirement that includes an integrity requirement; selecting a plurality of the computation instances corresponding to the quality requirement, so that the integrity level of the selected computation instances corresponds to the integrity requirement; calling the function in the selected computation instances corresponding to the function request in order to determine a plurality of results; determining a response based on the results, taking into account the quality requirement; and sending the response to the subscriber.