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:
Jun. 21, 2022

Filed:

Jun. 22, 2017
Applicant:

Apollo Intelligent Driving Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Jinghao Miao, San Jose, CA (US);

Liyun Li, Sunnyvale, CA (US);

Zhongpu Xia, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G08G 1/16 (2006.01); G08G 1/01 (2006.01); G08G 1/04 (2006.01); G06K 9/00 (2022.01); G06K 9/46 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06F 16/29 (2019.01); G06V 10/40 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G08G 1/0962 (2006.01);
U.S. Cl.
CPC ...
G08G 1/166 (2013.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0246 (2013.01); G05D 1/0274 (2013.01); G06F 16/29 (2019.01); G06V 10/40 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G08G 1/0112 (2013.01); G08G 1/04 (2013.01); G08G 1/163 (2013.01); G05D 2201/0213 (2013.01); G08G 1/09626 (2013.01);
Abstract

In one embodiment, in response to perception data perceiving a driving environment surrounding an ADV, a map image of a map covering a location associated with the driving environment is obtained. An image recognition is performed on the map image to recognize one or more objects from the map image. An object may represent a particular road, a building structure (e.g., a parking lot, an intersection, or a roundabout). One or more features are extracted from the recognized objects, where the features may indicate or describe the traffic condition of the driving environment. Behaviors of one or more traffic participants perceived from the perception data are predicted based on the extracted features. A trajectory for controlling the ADV to navigate through the driving environment is planned based on the predicted behaviors of the traffic participants. A traffic participant can be a vehicle, a cyclist, or a pedestrian.


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