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:
Jan. 07, 2025

Filed:

Sep. 29, 2022
Applicant:

Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US);

Inventors:

Ziran Wang, San Jose, CA (US);

Kyungtae Han, Palo Alto, CA (US);

Rohit Gupta, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/16 (2020.01); B60W 30/14 (2006.01); B60W 40/105 (2012.01); B60W 50/00 (2006.01); G06N 3/049 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
B60W 30/16 (2013.01); B60W 30/143 (2013.01); B60W 40/105 (2013.01); B60W 50/0097 (2013.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01); B60W 2554/4042 (2020.02); B60W 2554/802 (2020.02); B60W 2556/45 (2020.02);
Abstract

A method may include receiving training data comprising a time series of gaps between an ego vehicle and one or more lead vehicles at a plurality of time steps, embedding the training data into a fixed-length sequence, inputting the fixed-length sequence into a Transformer-RNN model comprising a Transformer component and an RNN component, wherein the transformer component applies attention to each data point of the fixed-length sequence based on a fixed number of previous inputs, and training the Transformer-RNN model, using the training data, to output a predicted gap at a future time step based on an input sequence of gaps.


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