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:
May. 30, 2023

Filed:

Jun. 18, 2021
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventor:

Daisuke Hashimoto, Susono, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/04 (2006.01); B60W 10/04 (2006.01); B60W 10/20 (2006.01); B60W 50/00 (2006.01); G05D 1/02 (2020.01); B60W 30/095 (2012.01); G06N 3/08 (2023.01); G05D 1/00 (2006.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01); B60W 10/06 (2006.01); B60W 10/08 (2006.01);
U.S. Cl.
CPC ...
B60W 40/04 (2013.01); B60W 10/04 (2013.01); B60W 10/20 (2013.01); B60W 30/0956 (2013.01); B60W 50/0097 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G05D 1/0214 (2013.01); G05D 1/0223 (2013.01); G05D 1/0246 (2013.01); G05D 1/0257 (2013.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); B60W 10/06 (2013.01); B60W 10/08 (2013.01); B60W 2050/0002 (2013.01); B60W 2400/00 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2556/00 (2020.02); B60W 2710/0666 (2013.01); B60W 2710/20 (2013.01); B60W 2754/10 (2020.02); G05D 2201/0213 (2013.01);
Abstract

A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.


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