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:
Sep. 14, 2021

Filed:

Jun. 27, 2018
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Qi Luo, Sunnyvale, CA (US);

Dong Li, Sunnyvale, CA (US);

Yajia Zhang, Sunnyvale, CA (US);

Liangliang Zhang, San Jose, CA (US);

Yifei Jiang, Sunnyvale, CA (US);

Jiaming Tao, Sunnyvale, CA (US);

Kecheng Xu, Sunnyvale, CA (US);

Jiangtao Hu, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/06 (2006.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
B60W 30/06 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G06K 9/00805 (2013.01); B60W 2554/00 (2020.02); B60W 2710/20 (2013.01);
Abstract

A parking system for autonomous driving vehicles optimizes a solution to a parking problem. The ADV detects a parking lot and selects a parking space. The ADV defines constraints for the parking lot, parking space, and kinematic constraints of the ADV, and generates a plurality of potential parking paths to the parking space, taking into account the constraints of the parking lot, parking space, and kinematics of the ADV, but without taking into any obstacles that may be surrounding the ADV. The ADV determines a cost for traversing each of the parking paths. One or more least cost candidate paths are selected from the parking paths, then one or more candidate paths are eliminated based on obstacles surrounding the ADV. Remaining candidates can be analyzed using a quadratic optimization system. A best parking path can be selected from the remaining candidates to navigate the ADV to the parking space.


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