/Patent Tracker
TeslaPatent applicationAI & softwareInterest 6/10

Tesla patents method to share object labels between different car sensors

This filing describes a system that uses labels from one type of sensor to automatically find and label the same objects in data from a different sensor. It maps a 2D location from the first sensor to a 3D area in the second sensor's view to identify where specific objects are located.

Why it mattersIt improves how self-driving cars process data by reducing the need to manually label every object in every sensor feed, which helps the software learn more efficiently.

In the filing’s own words

An annotation system uses annotations for a first set of sensor measurements from a first sensor to identify annotations for a second set of sensor measurements from a second sensor. The annotation system identifies reference annotations in the first set of sensor measurements that indicates a location of a characteristic object in the two-dimensional space. The annotation system determines a spatial region in the three-dimensional space of the second set of sensor measurements that corresponds to a portion of the scene represented in the annotation of the first set of sensor measurements. The annotation system determines annotations within the spatial region of the second set of sensor measurements that indicates a location of the characteristic object in the three-dimensional space.

What exactly they claim (claim 1)

1. A method, comprising: annotating, by a processor, first data corresponding to a scene using a location of at least one object in a first representation space of the first data; retrieving, by the processor, second data corresponding to the scene, the second data being represented in a second representation space that is different from the first representation space; determining, by the processor, based at least in part on a relationship between the first representation space and the second representation space and on an annotated first data, a region of the second representation space associated with the at least one object; and annotating, by the processor and based at least in part on the region, the second data corresponding to a location of the at least one object in the second representation space.

Facts

Company
Tesla (TESLA, INC.)
Official title
ANNOTATION CROSS-LABELING FOR AUTONOMOUS CONTROL SYSTEMS
Publication number
US20260276823A1
Application number
19648896
Filed
Apr 15, 2026
Published
Sep 17, 2026
Inventors
1
Claims
20

Classified under

G01S 17/86 Physics & computingG01S 17/00 Physics & computingG01S 17/89 Physics & computingG01S 17/894 Physics & computingG06T 7/521 Physics & computingG06V 10/776 Physics & computing

More from Tesla in AI & software

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.