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 First

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

Cost Efficiency

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

 Scalability and Flexibility

Scalability and Flexibility

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

More Automotive Use Cases

Safely Deploy Autonomous Vehicles

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.

Enhance 3D Brand Experiences

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).

Discover End-to-End Autonomous Vehicle Development

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.

News

Visual showing NVIDIA Cosmos

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.

 NVIDIA Supercharges Autonomous System Development

NVIDIA Supercharges Autonomous System Development With Omniverse Cloud APIs

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

CVPR Autonomous Grand Challenge for End-to-End Driving

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.

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

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.

Diagram of Autonomous Vehicle Simulation Blueprint