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GooglePatent applicationCars & transportInterest 6/10

Waymo patents method to predict traffic paths using discrete motion tokens

This filing describes a system that predicts how cars, pedestrians, and other objects will move in the near future. It uses a neural network to sample sequences of specific data points, called motion tokens, to create a shared prediction of where multiple agents will go.

Why it mattersAccurate prediction of how other road users will behave is a core challenge for self-driving cars, helping them navigate complex traffic safely.

In the filing’s own words

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating trajectory predictions for one or more agents in an environment. In one aspect, a method comprises: obtaining scene context data characterizing a scene in an environment at a current time point and generating a respective predicted future trajectory for each of a plurality of agents in the scene at the current time point by sampling a sequence of discrete motion tokens that defines a joint future trajectory for the plurality of agents using a trajectory prediction neural network that is conditioned on the scene context data.

What exactly they claim (claim 1)

1. (canceled)

Facts

Company
Google (Waymo LLC)
Official title
TRAJECTORY PREDICTION BY SAMPLING SEQUENCES OF DISCRETE MOTION TOKENS
Publication number
US20260285374A1
Application number
19688358
Filed
May 26, 2026
Published
Sep 24, 2026
Inventors
9
Claims
21

Classified under

B60W 60/0027 Operations & transportB60W 50/0097 Operations & transportB60W 2420/00 Operations & transportB60W 2554/4044 Operations & transport

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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.