NVIDIA Omniverse Sensor RTX Early Access Announced at CES 2025

NVIDIA Omniverse Sensor RTX CES 2025 1

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CES 2025, Las Vegas – NVIDIA announced the NVIDIA Omniverse Sensor RTX enabling physically accurate sensor simulation for generating datasets at scale.

NVIDIA Omniverse Sensor RTX

The NVIDIA Omniverse Sensor RTX features application programming interfaces (APIs) that are designed to support sensors commonly used for autonomy – including cameras, radar, and lidar. These can then be integrated seamlessly into existing workflows to accelerate the development of autonomous vehicles and robots of every kind.

NVIDIA Omniverse Sensor RTX CES 2025 1

These APIs are now available to select developers in early access. Organizations like Accenture, Foretellix, MITRE, and Mcity are integrating these APIs via domain-specific blueprints. These will be used to provide end customers with the tools they need to deploy the next generation of industrial manufacturing robots and self-driving cars.

Integrating the NVIDIA Omniverse Sensor RTX lets robotics developers simultaneously render sensor data from any type of intelligent machine in a factory for high-fidelity, large-scale sensor simulation. This level of simulation will allow manufacturers to save considerable time and investment, and improve efficiency in new ways.

Driving AV Development and Validation

To address the need for sensor data in the development of autonomous vehicles, NVIDIA has the Omniverse Blueprint for AV simulation. It is a workflow that uses Omniverse Sensor RTX APIs to render the camera, radar, and lidar data necessary for AV development and validation.

AV toolchain provider Foretellix has integrated the blueprint into its Foretify AV development toolchain to transform object-level simulation into physically accurate sensor simulation. This toolchain can generate any number of testing scenarios simultaneously. The company will use the NVIDIA Cosmos platform to generate even greater diversity of scenarios for verification and validation.

In addition, research organization MITRE is collaborating with the University of Michigan’s Mcity testing facility to build a digital AV validation framework for regulatory use. This includes a digital twin of Mcity’s 32-acre proving ground for autonomous vehicles.

Ram Ronquillo
Social Media Lead and Content Editor | Website

Ram found his love and appreciation for writing in 2015 having started in the gaming and esports sphere for GG Network. He would then transition to focus more on the world of tech which has also began his journey into learning more about this world. That said though, he still has the mentality of "as long as it works" for his personal gadgets.

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