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:
May. 04, 2021

Filed:

Feb. 28, 2018
Applicants:

Nissan North America, Inc., Franklin, TN (US);

Renault S.a.s., Boulogne-Billancourt, FR;

Inventors:

Ali Mortazavi, Walnut Creek, CA (US);

Maarten Sierhuis, San Francisco, CA (US);

Liam Pedersen, San Francisco, CA (US);

Assignees:

Nissan North America, Inc., Franklin, TN (US);

Renault S.A.S., Boulogne-Billancourt, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06K 9/00 (2006.01); G06N 20/00 (2019.01); H04W 4/029 (2018.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); G06K 9/00791 (2013.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01); H04W 4/029 (2018.02); B60W 2552/00 (2020.02);
Abstract

According to some implementations of the present disclosure, a method for controlling an autonomous vehicle is disclosed. The method includes traversing the transportation network in accordance with a route and receiving vehicle sensor data from one or more vehicle sensors of the autonomous vehicle. The method also includes determining that the autonomous vehicle has encountered an occlusion scenario based on the vehicle sensor data. In response to determining that the autonomous vehicle has encountered the occlusion scenario, the method includes transmitting a request for infrastructure data to an external resource via a communication network, receiving infrastructure data from the external resource, determining a control action for the autonomous vehicle to perform based on the infrastructure data and the vehicle sensor data, and controlling the autonomous vehicle based on the control action.


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