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:
Nov. 05, 2019

Filed:

May. 22, 2017
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Kuan-Hui Lee, Ann Arbor, MI (US);

Yusuke Kanzawa, Ann Arbor, MI (US);

Matthew O. Derry, Ann Arbor, MI (US);

Michael R. James, Northville, MI (US);

Assignee:

Toyota Research Institute, Inc., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 17/93 (2006.01); G01S 17/02 (2006.01); G01S 5/02 (2010.01); G01S 13/72 (2006.01); G01S 13/86 (2006.01); G01S 13/93 (2006.01); G01S 15/93 (2006.01); G01S 15/02 (2006.01); G01S 13/87 (2006.01);
U.S. Cl.
CPC ...
G01S 17/936 (2013.01); G01S 5/0263 (2013.01); G01S 5/0278 (2013.01); G01S 13/726 (2013.01); G01S 13/865 (2013.01); G01S 13/867 (2013.01); G01S 13/931 (2013.01); G01S 17/023 (2013.01); G01S 13/87 (2013.01); G01S 15/025 (2013.01); G01S 15/931 (2013.01); G01S 2013/935 (2013.01); G01S 2013/9342 (2013.01); G01S 2013/9346 (2013.01); G01S 2013/9364 (2013.01); G01S 2013/9367 (2013.01);
Abstract

System, methods, and other embodiments described herein relate to associating disparate tracks from multiple sensor inputs for observed objects. In one embodiment, a method includes, in response to receiving a first input from a first sensor and a second input from a second sensor, generating the disparate tracks including first sensor tracks and second sensor tracks for the observed objects that correspond to the first input and the second input. The method includes identifying correlations between the first sensor tracks and the second sensor tracks by computing association likelihoods between the first tracks and the second tracks within a permutation matrix according to an objective cost function. The method includes controlling a vehicle according to the correlations.


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