Autonomous Vehicle Simulation

Explore high-fidelity sensor simulation for safe autonomous vehicle development.

Workloads

Simulation / Modeling / Design

Industries

Automotive and Transportation

Business Goal

Return on Investment
Risk Mitigation

Products

NVIDIA Omniverse Enterprise
NVIDIA OVX
NVIDIA DGX

The Need for High-Fidelity AV Simulation

Developing autonomous vehicles (AVs) requires vast amounts of training data that mirrors the real-world conditions they’ll face on the road. Sensor simulation addresses this challenge by rendering physically accurate sensor data in virtual environments. You can train, test, and validate AVs at scale without having to encounter rare and dangerous scenarios in the real world. This precision in sensor data and environmental interaction is crucial for developing physical AI.

Why AV Simulation Matters:

Safety

Render diverse driving conditions—such as adverse weather, traffic changes, and rare or dangerous scenarios—without having to encounter them in the real world.

Cost Efficiency

Accelerate development and reduce reliance on costly data-collection fleets by generating data to meet model needs.

Scalability and Flexibility

Deploy a virtual fleet to prototype new sensors and stacks before physical prototyping.

Quick Links

Webpage: NVIDIA Launches Cosmos World Foundation Model Platform
Press Release: NVIDIA Expands Omniverse With Generative Physical AI
Blog: Building Smarter Autonomous Machines — NVIDIA Announces Early Access for Omniverse Sensor RTX APIs
Blog: NVIDIA’s Three Computer Solution for Autonomous Mobility Now Enhanced With Cosmos World Foundation Model
Blog: NVIDIA Research Wins CVPR Autonomous Grand Challenge for End-to-End Driving
Blog: NVIDIA Supercharges Autonomous System Development with Omniverse Cloud APIs
Session: Advancing Autonomous Vehicle Simulation with Omniverse and Generative AI
Session: Building the Next Generation of Autonomous Vehicles in Simulation

Running Physically Accurate AV Simulation At Scale

The NVIDIA Omniverse™ Blueprint for Autonomous Vehicle (AV) Simulation is a reference workflow that includes the physics, animation, and behaviors to enable physically accurate sensor simulation. It uses NVIDIA Omniverse Cloud Sensor RTX™ APIs to render the camera, radar, and lidar data necessary for AV training, testing, and validation.

With scalable and developer-friendly APIs that can be seamlessly integrated into existing workflows, you can replay driving data, generate new ground-truth data, and perform closed-loop testing to accelerate your pipelines.

Foretellix

Autonomous Vehicle Sensor Simulation, Powered by Sensor RTX

See how Foretellix uses NVIDIA Omniverse Cloud Sensor RTX to generate high-fidelity sensor simulation for autonomous vehicle development.

Watch the Video

Quick Links

Tech Blog: Advancing Physical AI with NVIDIA Cosmos World Foundation Model Platform
Tech Blog: ​​End-to-End Driving at Scale with Hydra-MDP
Tech Blog: Simulating Realistic Traffic Behavior with a Bi-Level Imitation Learning AI Model
Tech Blog: Using Synthetic Data to Address Novel Viewpoints for Autonomous Vehicle Perception
Tech Blog: Building Spatial Intelligence from Real-World 3D Data Using Deep-Learning Framework fVDB
Session: Advancing Autonomous Vehicle Simulation with Omniverse and Generative AI
Session: Building the Next Generation of Autonomous Vehicles in Simulation

Quickly expand Omniverse Cloud AV Simulation V&V capabilities by connecting to Foretellix's Foretify™ coverage-driven validation platform.

Learn More

See one of the latest autonomous vehicle safety frameworks for industry-wide deployment.

Read the Blog

Tap into a shared ecosystem of compatible, simulation-ready content.

Read About CARLA

Rapidly import environments into Omniverse Cloud with MathWorks RoadRunner.

Learn More

Please sign up using our interest form to get the latest information.

More Automotive Use Cases

Foretellix

Safely Deploy Autonomous Vehicles

Foretellix, an AV validation tool developer, unlocks sensor simulation with Omniverse Cloud APIs to improve safety while accelerating workflows and reducing costs.

Watch the Demo

WPP

Enhance 3D Brand Experiences

Produce high-quality content with generative AI tools built on NVIDIA Picasso and publish interactive brand experiences with the NVIDIA Graphics Delivery Network (GDN).

Watch the Demo

Discover End-to-End Autonomous Vehicle Development

NVIDIA Omniverse Cloud Sensor RTX microservices let you test and validate your workflows in a physically accurate environment before testing in the real world.

Watch the Demo

News

NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development

Companies can accelerate development of physical AI, including robots and self-driving vehicles, with models and data processing pipelines for images and video.

Read the Press Release

NVIDIA Supercharges Autonomous System Development With Omniverse Cloud APIs

NVIDIA Omniverse Cloud APIs are designed to deliver large-scale, high-fidelity sensor simulation.

Read the Blog

NVIDIA Research Wins CVPR Autonomous Grand Challenge for End-to-End Driving

NVIDIA was named an Autonomous Grand Challenge winner at CVPR in the End-to-End Driving at Scale category, outperforming more than 400 entries worldwide.

Read the Blog

End-to-End Driving at Scale with Hydra-MDP

NVIDIA introduces Hydra-MDP, an innovative framework that advances the field of end-to-end autonomous driving.

Read the Tech Blog
Company Information
News and Events
Popular Links