The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 21, 2024

Filed:

Mar. 22, 2022
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Yousef Omar, Troy, MI (US);

Wende Zhang, Birmingham, MI (US);

Hao Yu, Troy, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/37 (2017.01); B60R 1/22 (2022.01); G01S 17/87 (2020.01); G01S 17/89 (2020.01); G06F 18/2321 (2023.01); G06F 18/25 (2023.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06T 7/37 (2017.01); B60R 1/22 (2022.01); G01S 17/87 (2013.01); G01S 17/89 (2013.01); G06F 18/2321 (2023.01); G06F 18/251 (2023.01); G06V 20/58 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
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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