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公开(公告)号：US20230221942A1
公开(公告)日：2023-07-13
申请号：US17647524
申请日：2022-01-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Wende Zhang , Esther Anderson , Mark T Gaylord , Robert A Dziurda
CPC classification number: G06F8/65 , G06F8/71 , G06K9/6277 , G06K9/6257
Abstract: Vehicles and related systems and methods are provided for classifying detected objects in a location-dependent manner using localized models in a federated learning environment. A method involves obtaining sensor data for a detected object external to the vehicle from a sensor of a vehicle, obtaining location data associated with the detected object, obtaining a local classification model associated with an object type, assigning the object type to the detected object based on an output by the local classification model as a function of the sensor data and the location data using the local classification model, and initiating an action at the vehicle responsive to assigning the object type to the detected object.
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公开(公告)号：US20230219620A1
公开(公告)日：2023-07-13
申请号：US17647821
申请日：2022-01-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yun Qian Miao , Jason J. Parks , Norman J. Weigert , Mark T Gaylord
CPC classification number: B62D15/028 , G06T19/20 , B60W30/06 , G06V10/70 , G06T2219/2012
Abstract: Methods and systems are provided for assisting a user with parking a vehicle in a parking space. In various embodiments a method includes: receiving, by a processor, user input indicating a position of a virtual line displayed on a display screen of the vehicle, wherein the virtual line is adjustable by a user; storing, by the processor and in a datastore, the position of the virtual line and a vehicle position associated with a parking space; and selectively displaying, by the processor, an appearance of the virtual line on the display screen when the vehicle is within a range of the vehicle position to assist a user in parking the vehicle in the parking space, wherein the selectively displaying is based on a comparison of a boundary within a scene associated with the parking space and the virtual line.
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公开(公告)号：US11873023B2
公开(公告)日：2024-01-16
申请号：US17647821
申请日：2022-01-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yun Qian Miao , Jason J Parks , Norman J Weigert , Mark T Gaylord
CPC classification number: B62D15/028 , B60W30/06 , G06T19/20 , G06V10/70 , G06T2219/2012
Abstract: Methods and systems are provided for assisting a user with parking a vehicle in a parking space. In various embodiments a method includes: receiving, by a processor, user input indicating a position of a virtual line displayed on a display screen of the vehicle, wherein the virtual line is adjustable by a user; storing, by the processor and in a datastore, the position of the virtual line and a vehicle position associated with a parking space; and selectively displaying, by the processor, an appearance of the virtual line on the display screen when the vehicle is within a range of the vehicle position to assist a user in parking the vehicle in the parking space, wherein the selectively displaying is based on a comparison of a boundary within a scene associated with the parking space and the virtual line.
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公开(公告)号：US11853741B2
公开(公告)日：2023-12-26
申请号：US17647524
申请日：2022-01-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Wende Zhang , Esther Anderson , Mark T Gaylord , Robert A Dziurda
IPC: G06F8/65 , G06F8/71 , G06F18/214 , G06F18/2415 , G06T7/70 , G06V10/00 , G06V20/00
CPC classification number: G06F8/65 , G06F8/71 , G06F18/2148 , G06F18/2415 , G06T7/70 , G06V10/00 , G06V20/00 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: Vehicles and related systems and methods are provided for classifying detected objects in a location-dependent manner using localized models in a federated learning environment. A method involves obtaining sensor data for a detected object external to the vehicle from a sensor of a vehicle, obtaining location data associated with the detected object, obtaining a local classification model associated with an object type, assigning the object type to the detected object based on an output by the local classification model as a function of the sensor data and the location data using the local classification model, and initiating an action at the vehicle responsive to assigning the object type to the detected object.
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