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:
Apr. 28, 2020

Filed:

May. 30, 2018
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Jinhyoung Oh, Fremont, CA (US);

Mohsen Lakehal-ayat, Mountain view, CA (US);

Assignee:

FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/50 (2006.01); G05D 1/02 (2020.01); G01S 13/08 (2006.01); G05D 1/10 (2006.01); B64C 39/02 (2006.01);
U.S. Cl.
CPC ...
G01S 13/50 (2013.01); G01S 13/08 (2013.01); G05D 1/0257 (2013.01); G05D 1/101 (2013.01); B64C 39/024 (2013.01); B64C 2201/024 (2013.01); B64C 2201/141 (2013.01); G05D 2201/0213 (2013.01);
Abstract

Techniques and examples pertaining to vehicle odometry using one or more radars disposed on a vehicle are described. A method for radar odometry may involve receiving, by a processor from the radars, measurement data of stationary objects and moving objects that are located in an environment a vehicle is traversing. The method may also involve performing, by the processor, a random sample consensus (RANSAC) calculation to select the measurement data of the stationary objects and disregard the measurement data of the moving objects. The method may also involve calculating, by the processor, one or more dynamic variables of the vehicle based on the measurement data of the stationary objects. The proposed method processes the measurement data of the stationary objects with one single RANSAC calculation and one least squares problem solving, thereby greatly reducing computation cost and time as well as latency in operation for providing the vehicle odometry.


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