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Waymo patents radar system that maps object speed using two sensors

Patent drawing
Patent drawing from the official filing.

This filing describes a method where a vehicle uses two radar sensors placed at different spots to measure how fast an object is moving toward or away from each sensor. By combining these two measurements, the system calculates the object's full speed and direction, then feeds this data into a neural network to help control the car.

Why it mattersThis technique could help self-driving cars better understand the movement of nearby objects, potentially improving safety in complex traffic situations.

In the filing’s own words

Example embodiments relate techniques and systems for generating multi-axis radar velocity images using stereo radar. A vehicle radar system receives radar first radar data from a first radar and second radar data from a second radar, which are coupled at different locations on a vehicle traveling in an environment. The system determines a first radial speed and a second radial speed for an object based on the first and second radar data, respectively, and then estimates a velocity vector for the object relative to the vehicle based on the first and second radial speeds. The system can provide the estimated velocity vector as an input into a neural network and enable vehicle systems to control the vehicle based on the output from the neural network.

What exactly they claim (claim 1)

1. A method comprising: receiving, at a computing system, first radar data from a first radar and second radar data from a second radar, wherein the first radar and the second radar are coupled at different locations on a vehicle traveling in an environment; determining a first radial speed for an object in the environment based on the first radar data and a second radial speed for the object based on the second radar data; estimating a velocity vector for the object relative to the vehicle by determining an intersection point based on the first radial speed and the second radial speed; providing the estimated velocity vector as an input into a neural network; and controlling the vehicle based on an output from the neural network.

Facts

Company
Google (Waymo LLC)
Official title
Multi-axis Radar Velocity Image from Stereo Doppler Radar
Publication number
US20260309857A1
Application number
19711252
Filed
Jun 17, 2026
Published
Oct 8, 2026
Inventors
3
Claims
20

Classified under

G01S 13/581 Physics & computingG01S 7/417 Physics & computingG01S 13/89 Physics & computingG01S 13/931 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.