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. 19, 2024

Filed:

Apr. 21, 2022
Applicant:

Nauto, Inc., Palo Alto, CA (US);

Inventors:

Stefan Peter Heck, Palo Alto, CA (US);

Benjamin Oren Alpert, Sunnyvale, CA (US);

Tahmida Binte Mahmud, San Jose, CA (US);

Mohammad Saad Billah, San Jose, CA (US);

Ilan Hornstein, Menlo Park, CA (US);

Assignee:

Nauto, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); B60Q 9/00 (2006.01); B60W 30/09 (2012.01); B60W 30/095 (2012.01); B60W 40/08 (2012.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01); G05B 13/02 (2006.01); G06N 3/04 (2023.01); G07C 5/04 (2006.01);
U.S. Cl.
CPC ...
B60W 30/095 (2013.01); B60Q 9/008 (2013.01); B60W 30/09 (2013.01); B60W 40/08 (2013.01); B60W 50/0097 (2013.01); B60W 50/14 (2013.01); G05B 13/027 (2013.01); G06N 3/04 (2013.01); G07C 5/04 (2013.01); B60W 2050/143 (2013.01); B60W 2050/146 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2520/10 (2013.01); B60W 2540/00 (2013.01); B60W 2554/802 (2020.02); B60W 2556/10 (2020.02);
Abstract

An apparatus includes: a first sensor configured to provide a first input associated with an environment outside a vehicle; a second sensor configured to provide a second input associated with an operation of the vehicle; and a processing unit having a first-stage processing system and a second-stage processing system; the first-stage processing system configured to receive the first input and the second input, process the first input to obtain a first time series of information, and process the second input to obtain a second time series of information; wherein the second-stage processing system comprises a neural network model configured to receive the first time series of information and a second time series of information in parallel; and wherein the neural network is configured to process the first time series and the second time series to determine a probability of a predicted event associated with an operation of the vehicle.


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