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. 14, 2023

Filed:

Feb. 26, 2021
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Sriram Nochur Narayanan, San Jose, CA (US);

Buyu Liu, Cupertino, CA (US);

Ramin Moslemi, Pleasonton, CA (US);

Francesco Pittaluga, Los Angeles, CA (US);

Manmohan Chandraker, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 60/00 (2020.01); G06N 3/08 (2023.01); G06F 18/214 (2023.01); B60W 30/095 (2012.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 30/0953 (2013.01); B60W 30/0956 (2013.01); B60W 60/0027 (2020.02); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06V 10/82 (2022.01); B60W 2420/42 (2013.01); B60W 2554/4045 (2020.02);
Abstract

Methods and systems for training a trajectory prediction model and performing a vehicle maneuver include encoding a set of training data to generate encoded training vectors, where the training data includes trajectory information for agents over time. Trajectory scenarios are simulated based on the encoded training vectors, with each simulated trajectory scenario representing one or more agents with respective agent trajectories, to generate simulated training data. A predictive neural network model is trained using the simulated training data to generate predicted trajectory scenarios based on a detected scene.


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