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. 30, 2024

Filed:

Feb. 20, 2020
Applicant:

Marelli Europe S.p.a., Corbetta, IT;

Inventors:

Erika Di Stefano, Corbetta, IT;

Axel Furlan, Corbetta, IT;

Davide Fontana, Corbetta, IT;

Ivan Chernukha, Povo, IT;

Enver Sangineto, Povo, IT;

Niculae Sebe, Povo, IT;

Assignee:

Marelli Europe S.p.A., Corbetta, IT;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 50/00 (2006.01); B60W 60/00 (2020.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
B60W 50/0097 (2013.01); B60W 60/001 (2020.02); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); B60W 2420/403 (2013.01); B60W 2556/50 (2020.02); B60W 2710/207 (2013.01); B60W 2720/10 (2013.01); B60W 2720/12 (2013.01);
Abstract

A system for obtaining a prediction an action (a) of a vehicle (V), including a camera for acquiring a sequence of images (F) a convolutional neural network visual encoder which obtains a corresponding visual features vector (v), one or more sensor that obtains a position of the vehicle (s) at the same time step (s), a Recurrent Neural Network configured to receive the visual features vector (v) and position of the vehicle (s) at the time step (t) and to generate a prediction of the action (a) of the vehicle (V). The system comprising a command conditioned switch configured upon reception of a control command (c) to select a corresponding branch of the Recurrent Neural Network. The system is configured to operate the selected corresponding branch to process the visual features vector (v) and position of the vehicle (s) at the time step (t) to obtain the prediction of the action (a) of the vehicle (V).


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