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:
Aug. 22, 2023

Filed:

Nov. 22, 2018
Applicant:

Bayerische Motoren Werke Aktiengesellschaft, Munich, DE;

Inventors:

Koyel Banerjee, San Jose, CA (US);

Sumanth Nirmal Gavarraju, San Jose, CA (US);

Mingkang He, Baltimore, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/931 (2020.01); G01S 17/86 (2020.01); G01S 17/931 (2020.01); G01S 13/86 (2006.01);
U.S. Cl.
CPC ...
G01S 17/86 (2020.01); G01S 13/865 (2013.01); G01S 13/931 (2013.01); G01S 17/931 (2020.01); G01S 2013/93271 (2020.01); G01S 2013/93275 (2020.01);
Abstract

Object detection in a scene is based on lidar data and radar data of the scene. The lidar data and the radar data are transformed to a common coordinate system. Different radar point clusters are extracted from the radar data. Different lidar point clusters are extracted from the lidar data and each lidar point cluster is associated with a target object. A target object's velocity is estimated based on the movement of the respective lidar point cluster between consecutive lidar images. The estimated target object's velocity is compared with velocity information of a corresponding radar point cluster to identify corresponding radar and lidar point clusters.


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