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. 29, 2021

Filed:

Jun. 03, 2019
Applicant:

Uatc, Llc, San Francisco, CA (US);

Inventors:

Matthew Shaw Wood, Pittsburgh, PA (US);

William M. Leach, Pittsburgh, PA (US);

Scott C. Poeppel, Pittsburgh, PA (US);

Nicholas G. Letwin, Pittsburgh, PA (US);

Noah Zych, Pittsburgh, PA (US);

Assignee:

UATC, LLC, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); B60W 30/09 (2012.01); B62D 15/02 (2006.01); G01S 13/93 (2020.01); G01S 15/93 (2020.01); G01S 17/93 (2020.01); G01S 13/931 (2020.01); G01S 15/931 (2020.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G05D 1/0297 (2013.01); B60W 30/09 (2013.01); B62D 15/0265 (2013.01); G01S 13/931 (2013.01); G01S 15/931 (2013.01); G01S 17/931 (2020.01); G05D 1/021 (2013.01); G05D 1/0214 (2013.01); G05D 1/0257 (2013.01); G05D 1/0287 (2013.01); G05D 2201/02 (2013.01); G05D 2201/0213 (2013.01);
Abstract

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.


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