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:
Oct. 22, 2019

Filed:

Sep. 15, 2017
Applicant:

Uber Technologies, Inc., San Francisco, CA (US);

Inventors:

Aaron L. Greenfield, Pittsburgh, PA (US);

Frederic Tschanz, Pittsburgh, PA (US);

David McAllister Bradley, Pittsburgh, PA (US);

Diana Yanakiev, Birmingham, MI (US);

Assignee:

Uber Technologies, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 22/00 (2006.01); G05D 1/02 (2006.01); G01C 21/26 (2006.01); G05D 1/00 (2006.01); B60W 30/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0212 (2013.01); B60W 30/00 (2013.01); G01C 21/26 (2013.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 2201/0213 (2013.01);
Abstract

The present disclosure provides systems and methods that employ tolerance values defining a level of vehicle control precision for motion control of an autonomous vehicle. More particularly, a vehicle controller can obtain a trajectory that describes a proposed motion path for the autonomous vehicle. A constraint set of one or more tolerance values (e.g., a longitudinal tolerance value and/or lateral tolerance value) defining a level of vehicle control precision can be determined or otherwise obtained. Motion of the autonomous vehicle can be controlled to follow the trajectory within the one or more tolerance values (e.g., longitudinal tolerance value(s) and/or a lateral tolerance value(s)) identified by the constraint set. By creating a motion control framework for autonomous vehicles that includes an adjustable constraint set of tolerance values, autonomous vehicles can more effectively implement different precision requirements for different driving situations.


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