Deploying machine learning-based models

    公开(公告)号:US10803392B1

    公开(公告)日:2020-10-13

    申请号:US15455866

    申请日:2017-03-10

    Abstract: A method of deploying machine learning-based models may include identifying a profile of a target execution environment to implement a machine learning-based model in communication with a cloud infrastructure. The method may further include identifying, using the profile, a software module implementing the model. The method may further include causing the software module to be uploaded from a code repository associated with the cloud infrastructure to the target execution environment.

    In-vehicle synthetic sensor orchestration and remote synthetic sensor service

    公开(公告)号:US12210860B2

    公开(公告)日:2025-01-28

    申请号:US18600523

    申请日:2024-03-08

    Abstract: A system comprising one or more computers implements a synthetic sensor service configured to deploy synthetic sensors to an in-vehicle computing device implementing a synthetic sensor orchestration environment for a vehicle. The synthetic sensor orchestration environment determines a placement decision for a new synthetic sensor to be added to the vehicle based on one or more annotations included in a synthetic sensor package for the new synthetic sensor. The synthetic sensor service and respective synthetic sensor orchestration environments implemented in various types of vehicles provide a consistent way to remotely add additional synthetic sensors and/or other functionality to different types of vehicles after the vehicles have already been put in use by respective owners or operators of the vehicles.

    Vehicle environment discrepancy identification and discrepancy distribution to other vehicles

    公开(公告)号:US12175865B1

    公开(公告)日:2024-12-24

    申请号:US17810192

    申请日:2022-06-30

    Abstract: A vehicle information system and an in-vehicle agent implement a system for detecting discrepancies, for example due to drift, between actual real-world conditions in an environment surrounding a vehicle and corresponding conditions as represented in a model used by the vehicle. Additionally, the in-vehicle agent provides the detected discrepancies to a road-side resource and/or cloud-based computing device in order to distribute the detected discrepancies to other vehicles in the area. Also, a model maintained at the cloud-based computing devices may be updated to account for the discrepancies. The roadside resource and/or vehicle may infer estimated lifetimes of the detected discrepancies and intelligently distribute information describing the discrepancies based on their respective estimated lifetimes.

    IN-VEHICLE SYNTHETIC SENSOR ORCHESTRATION AND REMOTE SYNTHETIC SENSOR SERVICE

    公开(公告)号:US20240211230A1

    公开(公告)日:2024-06-27

    申请号:US18600523

    申请日:2024-03-08

    CPC classification number: G06F8/61 G05B19/4188

    Abstract: A system comprising one or more computers implements a synthetic sensor service configured to deploy synthetic sensors to an in-vehicle computing device implementing a synthetic sensor orchestration environment for a vehicle. The synthetic sensor orchestration environment determines a placement decision for a new synthetic sensor to be added to the vehicle based on one or more annotations included in a synthetic sensor package for the new synthetic sensor. The synthetic sensor service and respective synthetic sensor orchestration environments implemented in various types of vehicles provide a consistent way to remotely add additional synthetic sensors and/or other functionality to different types of vehicles after the vehicles have already been put in use by respective owners or operators of the vehicles.

    In-vehicle synthetic sensor orchestration and remote synthetic sensor service

    公开(公告)号:US11954471B2

    公开(公告)日:2024-04-09

    申请号:US17727592

    申请日:2022-04-22

    CPC classification number: G06F8/61 G05B19/4188

    Abstract: A system comprising one or more computers implements a synthetic sensor service configured to deploy synthetic sensors to an in-vehicle computing device implementing a synthetic sensor orchestration environment for a vehicle. The synthetic sensor orchestration environment determines a placement decision for a new synthetic sensor to be added to the vehicle based on one or more annotations included in a synthetic sensor package for the new synthetic sensor. The synthetic sensor service and respective synthetic sensor orchestration environments implemented in various types of vehicles provide a consistent way to remotely add additional synthetic sensors and/or other functionality to different types of vehicles after the vehicles have already been put in use by respective owners or operators of the vehicles.

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