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GooglePatent applicationCars & transportInterest 8/10

Waymo patents AI that predicts driving scenes from sensor data

Patent drawing
Patent drawing from the official filing.

This filing describes a neural network that converts data from car sensors into a sequence of digital tokens. The system is trained to predict what the driving environment will look like in the future based on current conditions.

Why it mattersIt offers a flexible way for self-driving cars to anticipate traffic and obstacles by learning from various sensor inputs.

In the filing’s own words

Systems and methods for using multi-modal token processing neural networks for autonomous driving. One of the methods includes obtaining an input sequence of tokens characterizing a driving environment for a vehicle, wherein the input sequence of tokens comprises, for each of one or more time steps, a respective set of tokens for each of a plurality of modalities of data from a set of multiple modalities of data; and processing the input sequence of tokens using a multi-modal token processing neural network to generate an output sequence of tokens, wherein: the output sequence of tokens characterizes a prediction for a prediction task for the vehicle, wherein: the multi-modal token processing neural network has been trained to process input token sequences characterizing current states of example driving environments to generate output token sequences characterizing predicted future states of the example driving environments.

What exactly they claim (claim 1)

1. A method performed by one or more computers, the method comprising: pre-training a multi-modal token processing neural network on a next frame prediction task that requires processing input token sequences characterizing current states of example driving environments to generate output token sequences characterizing predicted future states of the example driving environments; and after pre-training the multi-modal token processing neural network: obtaining respective training data for each of a plurality of prediction tasks for an autonomous vehicle; and for each of the plurality of prediction tasks, fine-tuning the multi-modal token processing neural network on the respective training data for the prediction task to generate a respective fine-tuned multi-modal token processing neural network for performing the prediction task.

Facts

Company
Google (Waymo LLC)
Official title
WORLD MODELS FOR PROCESSING VEHICLE SENSOR DATA
Publication number
US20260300725A1
Application number
19633813
Filed
Mar 30, 2026
Published
Oct 1, 2026
Inventors
2
Claims
20

Classified under

G06N 3/08 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.