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:
Feb. 09, 2021

Filed:

Sep. 12, 2019
Applicant:

Volvo Car Corporation, Gothenburg, SE;

Inventors:

Sihao Ding, Mountain View, CA (US);

Minming Zhao, Mountain View, CA (US);

Ying Li, Sunnyvale, CA (US);

Andreas Wallin, Billdal, SE;

Harshavardhan Reddy Dasari, Sunnyvale, CA (US);

Gambhir Bista, San Jose, CA (US);

Assignee:

Volvo Car Corporation, Göteborg, SE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/11 (2017.01); B60R 1/00 (2006.01); B62D 15/02 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00812 (2013.01); B60R 1/00 (2013.01); B62D 15/0285 (2013.01); G06T 7/11 (2017.01); B60R 2300/105 (2013.01); B60R 2300/607 (2013.01); B60R 2300/806 (2013.01); G06T 2207/30264 (2013.01);
Abstract

Parking spot detection methods and systems that detect and pair parking line markers, improving the accuracy and speed of parking spot detection in vehicular driver assist (DA) and autonomous driving (AD) applications. These methods and systems incorporate three major steps: (1) preprocessing—one or more standard camera images are input into the algorithm and a bird's-eye-view (BEV) image is output from the algorithm; (2) deep neural network (DNN) segmentation of the parking line markers—the BEV image is input into the algorithm and a binary image is output from the algorithm (with, e.g., the parking line markers areas displayed in white and the background displayed in black); and (3) binary image processing—the binary image is input into the algorithm and detected and paired parking line markers representing the parking spots are output from the algorithm.


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