BMW Patente

The present disclosure relates to maintaining a drive paths model during operation of a vehicle. The drive paths model is configured to provide environmental awareness regarding a current section of a road to one or more driving automation system features and includes at least one plurality of lane model segments, respectively approximating corresponding lane segments of a corresponding lanes and includes a fore plurality and an aft plurality. To maintain the drive paths model, a curvature profile is derived for a fore distance ahead of the vehicle, which is indicative of a curvature of the current section of the road ahead. Based on the curvature profile, sections of approximately constant curvature change are identified. Then, each fore plurality is maintained to include lane model segments based on the identified sections and each aft plurality is maintained by reassigning lane model segments to each corresponding aft plurality.

The invention relates to a method for a distance (200) and orientation (202) aware agent-to-agent communication between a first machine learning model (204) of a smart edge device (206) of a user and a second machine learning model (208) of a vehicle (210) associated with the user for aiding the user to resolve a user task associated with the vehicle (210), the method comprising the steps of: providing an established wireless communication link (212) between the smart edge device (206) and the vehicle (210); acquiring a distance (200) between the smart edge device (206) and the vehicle (210) and an orientation (202) of the smart edge device (206) with respect to the vehicle (210) using the established wireless communication link (212); and establishing the agent-to-agent communication between the first machine learning model (204) and the second machine learning model (208) based on the acquired distance (200) and orientation (202) for aiding the user to resolve the user task associated with the vehicle (210).

The invention relates to a method for optimizing route planning for at least two vehicles (A, B, C, D), comprising the steps of: receiving, by each of the at least two vehicles (A, B, C, D), respective tasks and/or destinations from an external entity (428); connecting, by a server computer (404), with each of the at least two vehicles (A, B, C, D); receiving, by the server computer (404) from each of the at least two vehicles (A, B, C, D), data comprising at least one of a starting point, a current location (W, Y), at least one destination (X, Z), an order of destinations for a required task, a desired schedule for reaching each destination (X, Z), and/or an ending destination for a period of time; evaluating, by the server computer (404), a respective optimized route (204, 206, 208, 210) for each of the at least two vehicles (A, B, C, D) based on an optimization parameter; and communicating (S5), by the server computer (404), the respective optimized route (204, 206, 208, 210) to the respective one of the at least two vehicles (A, B, C, D).

Method for outputting information in a vehicle; wherein the method comprises: obtaining an incoming information with a semantic content; determining, based on the semantic content, a privacy information; determining, based on the semantic content and on the privacy information, a summary of the information; and outputting a control signal to user-perceivably output the summary in the vehicle.

Method for outputting information in a vehicle; wherein the method comprises: obtaining an incoming information with a semantic content; generating, based on the semantic content, a summary of the information; wherein generating the summary is performed by a generative machine learning model; and outputting a control signal to user-perceivably output the summary in the vehicle.

The invention relates to a method of granting access to a mobile device for a vehicle in a digital key vehicle access system, wherein within the vehicle access system the mobile device and the vehicle are adapted to store a digital key in a secure storage in the respective operating system; the vehicle comprises a main electronic control unit, ECU, and an access ECU controlling access to the vehicle, the method comprising the vehicle receiving a request from the mobile device for granting access to the vehicle; the vehicle determining an emergency condition of the vehicle access system; the vehicle requesting a cryptographic confirmation from the mobile device; the mobile device producing the cryptographic confirmation and sending the cryptographic confirmation to the vehicle; the vehicle verifying the cryptographic confirmation; the vehicle granting access to the vehicle depending on the result of the verification of the cryptographic confirmation. Further, the invention relates to a digital key vehicle access system and an access electronic control unit for such a digital key vehicle access system.

The present document describes a device (110) holding a device digital key (111) for controlling one or more vehicle functions (103) of a vehicle (100). The device (110) is configured to generate device authentication data for authenticating the device (110) at the vehicle (100) based on the device digital key (111), and to send the device authentication data to the vehicle (100). Furthermore, the device (110) is configured to determine that the vehicle (100) cannot be authenticated at the device (110), and in reaction to determining that the vehicle (100) cannot be authenticated at the device (110), to limit the control to a restricted set of vehicle functions (103).

The present invention relates to a method for training a machine learning model (200) having a transformer architecture (202), the method comprising: providing (S1) time series training data (203) to the machine learning model (200) as input data (204), the machine learning model (200) processing the time series training data (203) via at least one attention layer (206) of at least one encoder layer (208) of the transformer architecture (202); applying (S2) a dynamic region masking (210) of the time series training data (203) based on attention weights of the attention layer (206) to derive masked training data(212); providing (S3) the masked training data (212) to the machine learning model (200) as input data (204); performing (S4) semi-supervised contrastive learning (214) of a latent space representation (216) of the time series training data (203) and the masked training data (212) derived from the at least one encoder layer (208); and providing (S5) the thereby trained machine learning model (218) for performing a downstream task.

The present disclosure relates to a computer-implemented method, to a system and to a computer program for verifying tests to be used for test-driven development of at least one software component of a product, such as at least one software component of a vehicle. The method comprises obtaining (110) a natural language description of one or more requirements to be satisfied by the at least one software component, obtaining (120) a natural-language description or an executable code of one or more tests to be executed for verifying that the at least one software component satisfies the requirements, processing (130), using a large language model, LLM, the natural language description of the one or more requirements to be satisfied and the natural-language description or the executable code of the one or more tests to be executed, wherein the LLM is prompted to verify the one or more requirements to be satisfied and the one or more tests to be executed, and to provide an output based on the verification, and providing (140), via a user interface and based on the output of the large language model, information related to the verification.

Embodiments relate to a method for improving an automatic opening of a flap of a vehicle. The method comprises obtaining a movement profile indicative of a trajectory of a user relative to the vehicle, determining, based on the movement profile, a duration between an entry of the user into a predefined area relative to the flap and a point of the trajectory and blocking or triggering, based on the duration, a machine-learning based classification of whether the movement profile indicates that the flap is to be opened.

The present document describes a vehicle server (140) configured to manage a digital key (161) for controlling one or more vehicle functions (103) of a vehicle (100). The vehicle server (140) is configured to store target information regarding a target device (180) which is eligible to a shared digital key (181) of the digital key (161) for controlling the one or more vehicle functions (103) of the vehicle (100), and to receive a sharing request from a requesting device for a shared digital key (181) of the digital key (161). Furthermore, the vehicle server (140) is configured to verify, based on the stored target information, whether or not the requesting device is eligible to the shared digital key (181), and to cause a key sharing process for providing the shared digital key (181) on the requesting device to be performed in dependence of the verification on whether or not the requesting device is eligible to the shared digital key (181).

Die Erfindung betrifft ein Verfahren zum Klassifizieren eines Fahrzustands eines Fahrzeugs (1), bei welchem mittels einer elektronischen Recheneinrichtung (17) ein Ist-Drehmomentwert (46) ermittelt wird, welcher ein aktuelles, in einer Lenkung (24) des Fahrzeugs (1) wirkendes Lenkmoment charakterisiert. Es wird ein Ist-Winkelwert ermittelt, welcher einen aktuellen Rollwinkel des Fahrzeugs (2) charakterisiert. Es wird ein Ist-Geschwindigkeitswert ermittelt, welcher eine aktuelle Fahrgeschwindigkeit des Fahrzeugs (2) charakterisiert und mit dem zugehörigen Ist-Winkelwert ein Ist-Wertepaar bildet. In Abhängigkeit von dem Ist-Wertepaar wird aus einem Referenz-Kennfeld (37), welches mehrere Referenz-Winkelwerte, mehrere Referenz-Geschwindigkeitswerte und mehrere Referenz-Drehmomentwerte umfasst und einem jeweiligen Referenz-Wertepaar, welches genau einen der Referenz-Winkelwerte und genau einen der Referenz-Geschwindigkeitswerte umfasst, genau einen der Referenz-Drehmomentwerte zuordnet, eines der Referenz-Wertepaare als zu dem Ist-Wertepaar gehörendes Wertepaar ausgewählt. Es wird der dem ausgewählten Referenz-Wertepaar zugeordnete Referenz-Drehmomentwert (50) ermittelt.

Die Erfindung betrifft ein Verfahren zum Ermitteln wenigstens eines Einflusswerts, welcher einen Einfluss einer Relativposition zwischen einem Fahrzeug und einer das Fahrzeug (1) nutzenden Person (P) auf ein aktuell in einer Lenkung (24) des Fahrzeugs (1) wirkendes Lenkmoment charakterisiert, bei welchem mittels einer elektronischen Recheneinrichtung (17) wenigstens ein Positionswert ermittelt wird, welcher eine mittels einer Sensoreinrichtung (25) erfasste und durch die Relativposition zwischen der das Fahrzeug (1) nutzenden Person (P) und dem Fahrzeug (1) beeinflusste Messgröße charakterisiert. In Abhängigkeit von dem Positionswert wird der Einflusswert ermittelt.

Embodiments relate to a method for improving an opening of a flap of a vehicle. The method comprises obtaining a movement profile indicative of a trajectory of a user relative to the vehicle, generating an adjusted movement profile by adjusting the trajectory based on dimensions of the vehicle, estimating, by a trained machine-learning model and based on the adjusted movement profile, whether the flap is to be opened and, if it is estimated by the trained machine-learning model that the flap is to be opened, triggering the opening of the flap.

The present document describes a key management server (141) configured to manage a digital key (161) for providing a digital key-based service for a vehicle (100). The key management server (141) is configured to receive a key generation request for generating a digital key (161). Furthermore, the key management server (141) is configured to generate the digital key (161) and metadata for the digital key (161), to cause the metadata to be signed using an issuer key, thereby providing an issuer signature, and to cause a key tracking receipt to be signed using a tracking key, thereby providing a tracking signature. Furthermore, the key tracking server (141) is configured to provide a key attestation (162) of the digital key (161) to the vehicle (100), wherein the key attestation (162) is indicative of the digital key (161), of the metadata, of the issuer signature and of the tracking signature.

The present disclosure relates to performing a bus-aligned maneuver by a driving automation system feature of a vehicle. The bus-aligned maneuver is aligned with an upcoming driving maneuver of a bus. The bus is detected in a vicinity of the vehicle at least based on automotive sensor data captured by one or more automotive sensors of the vehicle. Then, the upcoming driving maneuver of the detected bus is determined based on one or more of the automotive sensor data, bus data and/or map data, based on the upcoming driving maneuver of the detected bus, the bus-aligned maneuver is detected. Finally, the vehicle is caused to perform the bus-aligned maneuver.

The present document describes a key entity (160) comprising a storage area (166) for storing a shared digital key (161) for controlling one or more vehicle functions (103) of a vehicle (100). The key entity (160) is configured to store restriction data with regards to a usage restriction of the key entity (160) in the storage area (166) of the key entity (160), wherein the usage restriction defines a scope of vehicle functions (103) that the key entity (160) is designated for. Furthermore, the key entity (160) is configured to send the restriction data to a sharer device (110) which comprises a digital key (111) from which the shared digital key (161) of the key entity (160) is to be derived, and in reaction to receiving a transfer request from the sharer device (110), to generate the shared digital key (161) in accordance to a set of entitlements, which is indicated within the transfer request.

Die Nutzung eines Kraftfahrzeugs ist mittels eines digitalen Schlüssels abgesichert. Es wird vorgeschlagen, in einem Verfahren zum Bereitstellen eines solchen Schlüssels durch einen Sender an einen Empfänger eine erste und eine zweite Nachricht des Empfängers jeweils an einen Schlüsseldienst anhand eines jeweils mitgesandten öffentlichen Schlüssels des Empfängers einander zuzuordnen. Die erste Nachricht umfasst ein Geheimnis, das zuvor vom Sender an den Empfänger und den Schlüsseldienst übermittelt wurde, und die zweite Nachricht umfasst eine Attestierung. Die Attestierung kann dann vom Schlüsseldienst signiert werden, um den erstellten digitalen Schlüssel nutzbar zu machen.

The present document describes a method for testing a vehicle function of a vehicle for use within a second operational design domain, ODD, using a set of test scenarios which represents a first ODD that differs from the second ODD. The method comprises determining a difference measure for a difference between a first model for the first ODD and a second model for the second ODD. Furthermore, the method comprises determining an indicator for an amount of testing that is to be performed for testing the vehicle function for the second ODD using the set of test scenarios for the first ODD based on the difference measure.

The present disclosure relates to synchronizing an internal time of an automotive control unit in a vehicle with one or more further times of one or more further entities. One or more internal motion parameter indicators are compared to one or more further motion parameters. Each internal motion parameter indicator is associated with an internal time stamp based on the internal time of the automotive control unit while each further motion parameter is associated with a further time stamp based on the further time of the corresponding further entity. Then, one or more time offsets between the internal time stamp and the one or more further time stamps are determined based on the comparison. Finally, the internal time is synchronized with the one or more further times based on the one or more time offsets.

The invention relates to a method for initializing a hardware token for sharing of a digital key in a digital access system for a vehicle, comprising providing on the hardware token a hardware token management applet, a hardware token instance CA comprising a hardware token instance CA certificate, wherein the instance CA certificate is issued by a device CA. The invention also relates to a system for carrying out this method and to a hardware token.

The invention relates to a method for handling connection loss during a sharing process of a digital vehicle access key from a sharing device to a hardware token in a digital , comprising detecting a loss of communication between the hardware token and the sharing device during the sharing process of a digital key; attempting to restore the communication and retrying the failed sub-sequence of commands; continuing the sharing process once the communication is successfully re-established. The invention also relates to a system for carrying out this method and to a hardware token.

The invention relates to a method for securely sharing a digital vehicle access key, comprising initiating the sharing of a digital key from a server and/or a backend system to a hardware token, wherein the server and/or a backend system is adapted to manage the digital key; creating the digital key on the hardware token via a secure communication channel. The invention also relates to a system for carrying out this method and to a hardware token.

The present document describes a key entity (160) comprising a storage area (166) for storing a digital key (161). The key entity (160) is configured to receive a setup request for setting up a communication channel with a device (110) via a communication link (135) between the device (110) and the key entity (160), wherein the setup request comprises device data that is dependent on a password for setting up the communication channel. Furthermore, the key entity (160) is configured to delay processing of the setup request in accordance to retry duration data that is stored in the storage area (166) of the key entity (160). In addition, the key entity (160) is configured to determine, based on the received device data, whether or not the password is correct, and to reset the retry duration data in dependence on whether the password is determined to be correct or not.

The invention relates to a method for binding the sharing of a digital key to a hardware token in a digital key access system for vehicles, wherein the hardware token is adapted to hold the digital key, comprising restricting the sharing of a digital key to a defined plurality of hardware tokens. The invention also relates to a system for carrying out this method and to a hardware token.

The present document describes an apparatus (140, 101, 110, 160) for enabling the control of one or more vehicle functions (103) of a vehicle (100) using a key entity (110, 160) which comprises a digital key (161). The apparatus (140, 101, 110, 160) is configured to associate the vehicle (100) with a group identifier for a group of different vehicles (100) that the vehicle (100) is part of. Furthermore, the apparatus (140, 101, 110, 160) is configured to handle a key attestation (162) of the digital key (161), wherein the key attestation (162) is indicative of the group identifier, and to enable authentication of the key entity (110, 160) at the vehicle (100) using the key attestation (162).

A method for lane change classification of a vehicle comprises the following steps carried out by computer hardware components: acquiring sensor data representing a movement of a vehicle on a traffic lane over a predetermined time period; determining, on the basis of the sensor data, a lateral velocity of the vehicle and a lateral distance of the vehicle relative to a boundary of the traffic lane; assigning the movement of the vehicle to a lane changing class or a lane keeping class on the basis of a classification function, the lane changing class being associated with the vehicle departing from the lane, the lane keeping class being associated with the vehicle staying on the lane, wherein the classification function is defined in a lateral velocity dimension of the vehicle and a lateral distance dimension of the vehicle, and the classification function representing a boundary between the lane changing class and the lane keeping class.

Embodiments relate to a method 100 for improving an opening of a flap of a vehicle. The method comprises obtaining a movement profile indicative of a trajectory of a user relative to the vehicle and estimating, by a trained machine-learning model and based on the movement profile, whether the flap is to be opened. The trained machine-learning model is configured to generate an embedding based on the movement profile. If it is estimated by the trained machine-learning model that the flap is to be opened, it is determined whether the embedding comprises an outlier. If it is determined that the embedding does not comprise an outlier, the opening of the flap is triggered.

The present disclosure relates to enabling active learning for object classification by an automotive vision system configured to perform visual perception tasks, based on which a vehicle is configured to perform at least one driving automation system feature. The automotive vision system determines one or more 3D bounding boxes and a corresponding object class within three-dimensional sets of automotive sensor data, which including at least one automotive camera frame, i.e. two-dimensional data, while a secondary vision system determines one or more 2D bounding box vectors for each automotive camera frame. Based at least on the one or more 2D bounding box vectors, a frame score is calculated for each automotive camera frame. Then, one or more automotive camera frames are provided to an oracle based on the corresponding frame scores. The oracle returns annotated camera frames, which may then be used to retrain the automotive vision system.

Ein Verfahren zum Signieren von Daten mit einem digitalen Fahrzeugschlüssel (112) umfasst ein Empfangen einer Indikation (124) eines ausgewählten Signaturmodus, wobei der Signaturmodus unter mindestens einem ersten Signaturmodus (128, 132) und einem zweiten Signaturmodus (136) ausgewählt ist, wobei der mindestens eine erste Signaturmodus (128, 132) ein Signieren unter Mitwirken eines Benutzers (108) betrifft, und der zweite Signaturmodus (136) ein Signieren ohne Mitwirken des Benutzers (108) betrifft; ein Signieren (126) von Daten entsprechend dem ausgewählten Signaturmodus; ein Senden (140) der signierten Daten; und ein Empfangen einer Rückmeldung (148) bezüglich der signierten Daten.

The present document describes a device (110) for interacting with a digital key (161) for controlling one or more vehicle functions (103) of a vehicle (100), wherein the digital key (161) is stored on a digital key entity (160). The device (110) is configured to set up a communication channel with the digital key entity (160); to request routing information regarding a vehicle server (140) that is associated with the digital key (161) on the digital key entity (160) via the communication channel; to receive the requested routing information via the communication channel; and to use the routing information for interacting with the vehicle server (140) regarding the digital key (161).

The present document describes a digital key device (110) comprising a digital key (111) which is adapted for authentication of the digital key device (110) at a vehicle (100). The digital key device (110) is configured to determine identification data regarding the identity of the service provider for a digital key-based service for the vehicle (100), and to provide the identification data directly to a vehicle server (140) which is configured to track one or more shared digital keys (161) that have been derived from the digital key (111) of the digital key device (110). Furthermore, the digital key device (110) is configured to send a service activation request to a service server (160) for providing the digital key-based service using a shared digital key (161) that is derived from the digital key (111) of the digital key device (110), wherein the shared digital key (161) is adapted for authentication at the vehicle (100), and wherein the service activation request comprises the identification data.

The present document describes a digital key device (110) comprising a digital key (111) which is enabled for controlling one or more vehicle functions (103) of a vehicle (100). The digital key device (110) is configured to determine one or more client- and/or server-side parameters for a digital key-based service regarding the vehicle (100), and to generate signed service management request data based on the one or more client- and/or server-side parameters, using the digital key (111). Furthermore, the digital key device (110) is configured to send a service management request to a management server (190) of the digital key-based service for requesting the digital key-based service regarding the vehicle (100) to be provided, wherein the service management request comprises the signed service management request data.

The present document describes a device (110) for managing a digital key (111) for controlling one or more vehicle functions (103) of a vehicle (100). The device (110) is configured to set up a communication channel with a key card (160), and to interact with the key card (160) regarding a shared digital key (161) of the key card (160), which is derived from the digital key (111) of the device (110), via the communication channel.

The present document describes a device (110) for interacting with a shared digital key (161) for controlling one or more vehicle functions (103) of a vehicle (100), wherein the shared digital key (161) is stored on a key card (160). The device (110) is configured to cause termination of a digital key endpoint for the shared digital key (161) on the key card (160); to receive a termination attestation from the key card (160), wherein the termination attestation indicates that the digital key endpoint has been terminated; to cause deletion of the shared digital key (161) from a key tracking server for tracking keys; and subject to causing deletion of the shared digital key (161) on the key tracking server, to cause deletion of the digital key endpoint from a memory slot of a storage area (166) of the key card (160).

Embodiments relate to a method for improving a control of a flap of the vehicle. The method comprises obtaining vehicle data indicating a status of the vehicle. The vehicle data is independent of a locking status of the vehicle. Further, the method comprises generating control data for controlling a movement of the flap of the vehicle. The control data is generated based on the vehicle data.

The present disclosure relates to verifying a functional requirement of a driving automation system feature, which is configured to be performed by a plurality of vehicles of varying vehicle types. To verify a driving automation system feature for a given vehicle type, a combined vehicle type state model is derived based on one or more characteristics of the given vehicle type. The combined vehicle type state model provides a future vehicle type state based on a current vehicle state and a control output of the driving automation system feature. Further, a type operational design domain (ODD) and a vehicle type safe state set are obtained. If the combined vehicle type safe state model outputs future vehicle type states within the type ODD for all control outputs determined by the driving automation system feature for the vehicle type safe state set, the driving automation system feature is verified.

The present invention provides a generative AI processing method and system for a vehicle, the method comprising: establishing a connection between the vehicle and a mobile device; receiving a speech input from a user in response to triggering an in-vehicle speech assistant; and feeding the speech input into an AI model built-in at the mobile device to obtain an AI-generated result. Additionally, the present invention also provides a vehicle supporting generative AI processing.

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