Nvidia patents method to measure object distance using neural networks
Nvidia describes a system that uses a neural network to calculate how far away objects are by analyzing pairs of images taken from slightly different angles. The network is trained using specific mathematical rules that help it handle shadows and overlapping objects more accurately.
In the filing’s own words
Apparatuses, systems, and techniques are presented to determine distance for one or more objects. In at least one embodiment, a disparity network is trained to determine distance data from input stereoscopic images using a loss function that includes at least one of a gradient loss term and an occlusion loss term.
What exactly they claim (claim 1)
1 - 30. (canceled)
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- DISTANCE DETERMINATIONS USING ONE OR MORE NEURAL NETWORKS
- Publication number
- US20260300718A1
- Application number
- 19340392
- Filed
- Sep 25, 2025
- Published
- Oct 1, 2026
- Inventors
- 5
- Claims
- 21
Classified under
G06N 3/08 Physics & computingG06N 3/04 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.