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公开(公告)号:US10803392B1
公开(公告)日:2020-10-13
申请号:US15455866
申请日:2017-03-10
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Mohammad Asif Ali Khan , Brett Francis , Guy Ernest
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.
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公开(公告)号:US12210860B2
公开(公告)日:2025-01-28
申请号:US18600523
申请日:2024-03-08
Applicant: Amazon Technologies, Inc.
Inventor: Brett Francis , Nicholas Jay Lefler
IPC: G06F15/16 , G05B19/418 , G06F8/61
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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公开(公告)号:US12175865B1
公开(公告)日:2024-12-24
申请号:US17810192
申请日:2022-06-30
Applicant: Amazon Technologies, Inc.
Inventor: Indraneel Mitra , Alex Bessonov , Stefano Marzani , Brett Francis , Roland Mesde
IPC: G08G1/09 , G06Q30/0251 , H04W4/021 , H04W4/44
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.
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公开(公告)号:US20240211230A1
公开(公告)日:2024-06-27
申请号:US18600523
申请日:2024-03-08
Applicant: Amazon Technologies, Inc.
Inventor: Brett Francis , Nicholas Jay Lefler
IPC: G06F8/61 , G05B19/418
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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公开(公告)号:US11954471B2
公开(公告)日:2024-04-09
申请号:US17727592
申请日:2022-04-22
Applicant: Amazon Technologies, Inc.
Inventor: Brett Francis , Nicholas Jay Lefler
IPC: G06F15/16 , G05B19/418 , G06F8/61
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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