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公开(公告)号:US11836990B2
公开(公告)日:2023-12-05
申请号:US17655531
申请日:2022-03-18
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Yousef Omar , Mark Wolski , Hao Yu , Wende Zhang
CPC classification number: G06V20/58 , B60W40/10 , B60W40/12 , G06T7/13 , G06T7/30 , G06T7/55 , B60W2420/42 , B60W2420/52
Abstract: Systems and methods for generating alignment parameters for processing data associated with a vehicle. In one embodiment, a method includes: receiving image data associated with an environment of the vehicle; receiving lidar data associated with the environment of the vehicle; processing, by a processor, the image data to determine data points associated with at least one vehicle identified within image data; processing, by the processor, the lidar data to determine data points associated with at least one vehicle identified within the lidar data; selectively storing the data points in a data buffer based on at least one condition associated with a quality of the data points; processing, by the processor, the data points in the data buffer with a joint analysis method to generate alignment parameters between the lidar and the camera; and processing future data based on the alignment parameters.
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公开(公告)号:US20230298355A1
公开(公告)日:2023-09-21
申请号:US17655531
申请日:2022-03-18
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Yousef Omar , Mark Wolski , Hao Yu , Wende Zhang
CPC classification number: G06V20/58 , G06T7/13 , G06T7/55 , G06T7/30 , B60W40/10 , B60W40/12 , B60W2420/52 , B60W2420/42
Abstract: Systems and methods for generating alignment parameters for processing data associated with a vehicle. In one embodiment, a method includes: receiving image data associated with an environment of the vehicle; receiving lidar data associated with the environment of the vehicle; processing, by a processor, the image data to determine data points associated with at least one vehicle identified within image data; processing, by the processor, the lidar data to determine data points associated with at least one vehicle identified within the lidar data; selectively storing the data points in a data buffer based on at least one condition associated with a quality of the data points; processing, by the processor, the data points in the data buffer with a joint analysis method to generate alignment parameters between the lidar and the camera; and processing future data based on the alignment parameters.
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公开(公告)号:US20230306621A1
公开(公告)日:2023-09-28
申请号:US17655888
申请日:2022-03-22
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Yousef Omar , Wende Zhang , Hao Yu
CPC classification number: G06T7/37 , B60R1/22 , G01S17/87 , G01S17/89 , G06K9/6226 , G06K9/6289 , G06V20/58 , G06T2207/20081 , G06T2207/30252
Abstract: Systems and methods are provided for generating alignment parameters for processing data associated with a vehicle. In one embodiment, a method includes: receiving image data associated with an environment of the vehicle; receiving lidar data associated with the environment of the vehicle; processing, by a processor, the image data to determine data points associated with at least one pole identified within image data; processing, by the processor, the lidar data to determine data points associated with at least one pole identified within the lidar data; selectively storing the data points as data point pairs in a data buffer; iteratively processing, by the processor, the data point pairs with a plurality of perturbations to determine a transformation matrix; generating, by the processor, alignment data based on the transformation matrix; and processing future data based on the alignment parameters.
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公开(公告)号:US11989893B2
公开(公告)日:2024-05-21
申请号:US17655888
申请日:2022-03-22
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Yousef Omar , Wende Zhang , Hao Yu
CPC classification number: G06T7/37 , B60R1/22 , G01S17/87 , G01S17/89 , G06F18/2321 , G06F18/251 , G06V20/58 , G06T2207/20081 , G06T2207/30252
Abstract: Systems and methods are provided for generating alignment parameters for processing data associated with a vehicle. In one embodiment, a method includes: receiving image data associated with an environment of the vehicle; receiving lidar data associated with the environment of the vehicle; processing, by a processor, the image data to determine data points associated with at least one pole identified within image data; processing, by the processor, the lidar data to determine data points associated with at least one pole identified within the lidar data; selectively storing the data points as data point pairs in a data buffer; iteratively processing, by the processor, the data point pairs with a plurality of perturbations to determine a transformation matrix; generating, by the processor, alignment data based on the transformation matrix; and processing future data based on the alignment parameters.
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