METHOD FOR DIMENSION REDUCTION
    11.
    发明申请

    公开(公告)号:US20250148763A1

    公开(公告)日:2025-05-08

    申请号:US18936575

    申请日:2024-11-04

    Abstract: The invention relates to a method (100) for dimension reduction of a multi-dimensional feature space for training a machine learning model (50) by machine learning, comprising the following steps: providing (101) at least one data pair (30), in which in each case an original data element (31) and a modified data element (32) have a feature difference (Δf) in relation to one another, which feature difference is specific to a respective defined task for machine learning, determining (102) at least one task-specific feature space, which is specific to the at least one feature difference (Δf), on the basis of a comparison of the respective data pairs (30), performing (103) the dimension reduction on the basis of the determined task-specific feature space.

    Method for providing synthetic data

    公开(公告)号:US20250104454A1

    公开(公告)日:2025-03-27

    申请号:US18895832

    申请日:2024-09-25

    Abstract: The invention relates to a method (100) for providing synthetic data for use in machine learning, wherein the synthetic data comprise synthetic, photorealistic image information, said method comprising the following method steps: generating (101) simulation data, wherein the simulation data are in the form of annotated data and are generated by a simulation environment, determining (102) annotations from the generated simulation data, generating (103) the synthetic data by means of semantic image synthesis (SIS) using the determined annotations as input for the semantic image synthesis (SIS), annotating (104) the generated synthetic data based on an output from the simulation environment.

    VALIDATING A TRAVEL CORRIDOR FOR LATERAL GUIDANCE OF A MOTOR VEHICLE

    公开(公告)号:US20250091573A1

    公开(公告)日:2025-03-20

    申请号:US18885279

    申请日:2024-09-13

    Abstract: The disclosure relates to validation of a driving corridor for lateral guidance of a motor vehicle by a driver assistance system. Based on environmental data, a driving corridor with corridor boundaries is determined, the corridor boundaries specifying a first track width for the lateral guidance of the motor vehicle. It is then checked whether there is more than one driving trajectory within the corridor boundaries, by determining whether there is more than one data point along a rear axle of the motor vehicle, each of which is assigned to a different driving trajectory. Based on a result of the determining, the driving corridor is validated and the first track width is used for the lateral guidance of the motor vehicle, or the driving corridor is falsified and a different, second track width is used for the lateral guidance of the motor vehicle.

    Large scale collaboration of computing applications for vehicle data analysis and response

    公开(公告)号:US12236722B2

    公开(公告)日:2025-02-25

    申请号:US17523882

    申请日:2021-11-10

    Applicant: CARIAD SE AUDI AG

    Abstract: Approaches, techniques, and mechanisms are disclosed for large scale vehicle data collaborative analysis. According to one embodiment, a large amount of data streams is received from a multitude of vehicles. A distributed event streaming system is applied to parse the data streams based on an attribute, such as time sensitive data, location-specific data, or vehicle maintenance, operational, or fault-prevention data. A data container platform instance hosts applications that receive the parsed data streams. Output of an application is transformed into data streams having a common topic. Other applications may access the data streams by topic. Upon receiving an indication that an application has processed a data stream by topic, a decision point may be reached and executed by an external application, triggering an action on a vehicle from the multitude of vehicles.

    METHOD AND SYSTEM FOR DETERMINING AN OBJECT STRUCTURE OF AN OBJECT AND CONTROL DEVICE FOR SUCH A SYSTEM

    公开(公告)号:US20250061700A1

    公开(公告)日:2025-02-20

    申请号:US18806574

    申请日:2024-08-15

    Abstract: The disclosure relates to determining an object structure of an object, such as lane edges and/or lane markings. Image data describing an image of an environment with the object located therein are provided and then fed into at least one neural network that is trained to determine feature data, including predetermined features with respect to geometric shapes and/or colors of the object. Edge endpoints of the object structure of the object are determined by applying an edge endpoint determiner, and then an ROI operation is performed on at least one surrounding area around at least one determined edge endpoint. At the same time, intermediate graph points of the object structure are determined by applying an intermediate graph point determiner. The final object structure is determined and/or marked based on the determined edge endpoints and intermediate graph points. The determined object structure is provided to a computer vision functionality.

    Method for initiating a standby mode in a control unit of a motor vehicle, corresponding operable control unit and motor vehicle

    公开(公告)号:US12153935B2

    公开(公告)日:2024-11-26

    申请号:US17989576

    申请日:2022-11-17

    Applicant: CARIAD SE

    Inventor: Daniel Kerk

    Abstract: A method for operating a control unit of a motor vehicle, wherein a state management module of a runtime environment initiates a standby mode of the runtime environment as a function of a stop request. The invention provides that, as a function of the stop request, the state management module first sends out to at least one application a respective backup request which requests the respective application to store respective predetermined runtime data in a non-volatile data memory, and then, however, if a resume request is subsequently received within a waiting time period, the normal operating mode is continued without the planned switch-over to the standby mode.

    Method for Generating a Representation of the Surroundings

    公开(公告)号:US20240303919A1

    公开(公告)日:2024-09-12

    申请号:US18598912

    申请日:2024-03-07

    Inventor: Denis Tananaev

    CPC classification number: G06T17/00 G06T7/11 G06T2207/20081 G06T2207/20084

    Abstract: The invention relates to a method (100) for generating a representation (70) of the surroundings, comprising the following steps:



    providing (101) at least one image (30) that results from a recording by an image detection device (5) and that represents objects (6) and/or surfaces (6) in the surroundings (7) of the image detection device (5), wherein the provided image (30) is subdivided into multiple image columns (31),
    generating (102) the representation (70) of the surroundings, wherein for this purpose multiple three-dimensional stixels (80) for each image column (31) of the provided image (30) are parameterized for representing the objects (6) and/or surfaces (6) in three-dimensional space,
    wherein the generation (102) of the representation (70) of the surroundings takes place using a model (50) which uses the provided image (30) as input.

    MOTION PLANNING OF AN AUTONOMOUS VEHICLE, MOTION PLANNING SYSTEM AND VEHICLE WITH A MOTION PLANNING SYSTEM

    公开(公告)号:US20240199077A1

    公开(公告)日:2024-06-20

    申请号:US18572153

    申请日:2021-06-24

    CPC classification number: B60W60/0011

    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.

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