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:
Jan. 31, 2023

Filed:

Sep. 20, 2017
Applicant:

Bayerische Motoren Werke Aktiengesellschaft, Munich, DE;

Inventors:

Maximilian Doemling, Shanghai, CN;

Sebastian Granzow, Kirchheim, DE;

Wanli Jiang, Shanghai, CN;

Qianshan Li, Shanghai, CN;

Jianpeng Li, Suzhou, CN;

Shuhan Lv, Shanghai, CN;

Tao Xu, Shanghai, CN;

Hongshan Xu, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06F 9/30 (2018.01); G06F 9/38 (2018.01); G06K 9/62 (2022.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01); G01S 17/42 (2006.01); G01S 17/931 (2020.01); G01C 21/30 (2006.01); G01S 7/48 (2006.01); G06T 7/48 (2017.01); G06T 7/246 (2017.01); G06T 7/593 (2017.01); G06T 7/521 (2017.01); G06T 7/80 (2017.01);
U.S. Cl.
CPC ...
G05D 1/0212 (2013.01); G06F 9/30192 (2013.01); G06F 9/3891 (2013.01); G06K 9/6218 (2013.01); G06K 9/6278 (2013.01); G06V 20/56 (2022.01); G05D 2201/0213 (2013.01);
Abstract

A method and an apparatus optimizes scan data obtained by sensors on vehicle, and corrects trajectory for a vehicle/robot based on the optimized scan data. The method for optimizing the scan data obtained by scanning environment elements, includes: step of obtaining the scan data, including obtaining at least two frames of scan data respectively corresponding to different timings; step of cluster processing, based on the characteristic of the data points, including classifying the plurality of data points in each frame of the scan data into one or more clusters; step of establishing correspondence, among the at least two frames of scan data, including searching and obtaining at least one set of clusters having correspondence; step of optimizing clusters, among the at least two frames of scan data, including conducting calculation to each set of the at least one set of clusters having correspondence, to obtain optimized clusters respectively corresponding to each set of the at least one set of clusters having correspondence; and step of optimizing the scan data, including accumulating all optimized clusters to obtain an optimized scan date for the at least two frames of scan data.


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