Nvidia patents radar system that learns to estimate object speed
This patent describes a method where a machine learning model estimates the speed of an object using radar data. The system then calculates what the radar data should look like based on that speed and adjusts the model to reduce the difference between the actual and calculated data.
In the filing’s own words
In some embodiments, the method may include determining, using a machine learning model, an estimated velocity corresponding to an object based at least on measured RADAR data, where the measured RADAR data may correspond to RADAR detections associated with the object. In some embodiments, the method may further include determining expected RADAR data corresponding to the object based at least on the estimated velocity. Some embodiments may additionally include updating one or more parameters of the machine learning model based on the difference between the measured RADAR data and the expected RADAR data.
What exactly they claim (claim 1)
1. A method comprising: obtaining, using a machine learning (ML) model, an output of the ML model that includes an estimated velocity corresponding to an object as a whole, the estimated velocity being based at least on providing measured RADAR data to the ML model as an input to the ML model, the measured RADAR data corresponding to a plurality of RADAR detections associated with different portions of the object; reconstructing, to generate expected RADAR data as a reconstruction of the measured RADAR data and formatted according to a format of the measured RADAR data, RADAR data corresponding to the different portions of the object based at least on one or more reverse calculations performed with respect to the estimated velocity; and updating one or more parameters of the ML model based at least on a difference between the measured RADAR data and the expected RADAR data, wherein the ML model is used by a machine to determine a detected velocity of a detected object detected using one or more RADAR sensors of the machine.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- Self-supervised learning
- Patent number
- US12736627B2
- Application number
- 18477325
- Filed
- Sep 28, 2023
- Granted
- Sep 15, 2026
- Inventors
- 3
- Claims
- 20
Classified under
G01S 7/417 Physics & computingG01S 13/58 Physics & computingG01S 13/931 Physics & computingMore from Nvidia in AI & software
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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.