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. 28, 2022

Filed:

May. 24, 2019
Applicant:

Cyngn, Inc., Menlo Park, CA (US);

Inventors:

I-Chung Joseph Lin, Saratoga, CA (US);

Elena Ramona Stefanescu, Sunnyvale, CA (US);

Dhivya Sukumar, Mountain View, CA (US);

Sumit Saxena, Santa Clara, CA (US);

Assignee:

CYNGN, INC., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 19/00 (2010.01); G01S 19/47 (2010.01); G01S 19/39 (2010.01); G05D 1/02 (2020.01);
U.S. Cl.
CPC ...
G01S 19/47 (2013.01); G01S 19/393 (2019.08); G05D 1/027 (2013.01); G05D 1/0253 (2013.01); G05D 1/0272 (2013.01); G05D 1/0278 (2013.01); G05D 2201/0213 (2013.01);
Abstract

The localization of a vehicle is determined using less expensive and computationally robust equipment compared to conventional methods. Localization is determined by estimating the position of a vehicle relative to a map of the environment, and the process thereof includes using a map of the surrounding environment of the vehicle, a model of the motion of the frame of reference of the vehicle (e.g., ego-motion), sensor data from the surrounding environment, and a process to match sensory data to the map. Localization also includes a process to estimate the position based on the sensor data, the motion of the frame of reference of the vehicle, and/or the map. Such methods and systems enable the use of less expensive components while achieving useful results for a variety of applications, such as autonomous vehicles.


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