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NvidiaPatent applicationCars & transportInterest 7/10

Nvidia patents 3D camera system to monitor driver eyes and hands

Patent drawing
Patent drawing from the official filing.

Nvidia describes a system that uses cameras and depth sensors to track a driver's eyes, head, and hands in three dimensions. It converts flat 2D video images into 3D coordinates using a personalized model of the occupant to precisely measure their movements. This data helps the car detect if the driver is drowsy or distracted.

Why it mattersThis technology could make in-car safety systems more accurate by understanding the driver's physical state in 3D rather than just looking at a flat video feed.

In the filing’s own words

In various examples, systems and methods related to depth-assisted 3D detection are provided. The techniques described herein may be used to monitor a state of a vehicle occupant with high precision using depth-assisted 3D detection. Sensors may be used to capture image data and depth data that includes features of the vehicle occupant (e.g., eyes, head, hands, etc.). The 2D image coordinates from the image data may be converted to 3D coordinates in a global coordinate system using depth data and a 3D occupant model, which may be personalized to the vehicle occupant. Precise values may be determined based on the 3D coordinates in a global coordinate system, and the state of features of the vehicle occupant may be estimated based on these values. The values and/or state of features of the vehicle occupant may be used to detect drowsiness, distraction, and/or other conditions and provide safe vehicle operation.

What exactly they claim (claim 1)

1. One or more processors comprising processing circuitry to: obtain, using image data, two-dimensional (2D) image coordinates for one or more keypoints corresponding to at least one feature of a vehicle occupant; generate first three-dimensional (3D) coordinates in a coordinate system of an image sensor for the one or more keypoints based at least on the 2D image coordinates being fit to a 3D occupant model including the at least one feature; generate second 3D coordinates in a global coordinate system for the one or more keypoints based at least on the first 3D coordinates and depth data for the one or more keypoints in the global coordinate system to determine a state of the at least one feature; and output an indication of the state of the at least one feature.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
DEPTH-ASSISTED 3D DETECTION FOR VEHICLE OCCUPANT DETECTION AND MONITORING
Publication number
US20260311498A1
Application number
19172305
Filed
Apr 7, 2025
Published
Oct 8, 2026
Inventors
5
Claims
20

Classified under

G06V 20/597 Physics & computingG06T 7/593 Physics & computingG06T 7/73 Physics & computingG06T 2207/10028 Physics & computingG06T 2207/30201 Physics & computingG06T 2207/30268 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.