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:
Oct. 15, 2024

Filed:

Nov. 13, 2020
Applicants:

Amir Rasouli, Maple, CA;

Mohsen Rohani, Thornhill, CA;

Inventors:

Amir Rasouli, Maple, CA;

Mohsen Rohani, Thornhill, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); B60W 30/095 (2012.01); B60W 60/00 (2020.01); G06N 3/04 (2023.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); B60W 30/0956 (2013.01); B60W 60/0011 (2020.02); G06N 3/04 (2013.01); G06V 10/25 (2022.01); B60W 2554/4046 (2020.02);
Abstract

Methods and systems for predicting behavior of a dynamic object of interest in an environment of a vehicle are described. Time series feature data are received, representing features of objects in the environment, including a dynamic object of interest. The feature data are categorized into one of a plurality of defined object categories. Each categorized set of data is encoded into a respective categorical representation that represents temporal change of features within the respective defined object category. The categorical representations are combined into a single shared representation. A categorical interaction representation is generated based on the single shared representation that represents contributions of temporal change in each defined object category to a final time step of the shared representation. The categorical interaction representation together with data representing dynamics of the objects in the environment and data representing a state of the vehicle are used to generate predicted data representing a predicted future behavior of the dynamic object of interest.


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