Autonomous Vehicle Simulation
Explore high-fidelity and diverse sensor simulation for safe autonomous vehicle development.
Workloads
Simulation / Modeling / Design
Industries
Automotive and Transportation
Business Goal
Return on Investment
Risk Mitigation
Products
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Overview
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Technical Implementation
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Partners
The Need for High-Fidelity AV Simulation
Developing autonomous vehicles (AVs) requires vast amounts of training data that mirrors the real-world diversity they’ll face on the road. Sensor simulation addresses this challenge by rendering physically-based sensor data in virtual environments. Conditioned on these physics, world models add variation to sensor simulation, amplifying lighting, weather, geolocations, and more. With these capabilities, you can train, test, and validate AVs at scale without having to encounter rare and dangerous scenarios in the real world. The precision and diversity in sensor data and environmental interaction are 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 configure new sensors and stacks before physical prototyping.
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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 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 the NVIDIA Omniverse Sensor RTX API to generate high-fidelity sensor simulation for autonomous vehicle development.
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Autonomous Vehicle Simulation Partner Ecosystem
Learn how our partners are delivering physically-based simulation for safe and efficient autonomous vehicle development.
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