Explore high-fidelity sensor simulation for safe autonomous vehicle development.
Simulation / Modeling / Design
Automotive and Transportation
Return on Investment
Risk Mitigation
NVIDIA Omniverse Enterprise
NVIDIA OVX
NVIDIA DGX
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:
Render diverse driving conditions—such as adverse weather, traffic changes, and rare or dangerous scenarios—without having to encounter them in the real world.
Accelerate development and reduce reliance on costly data-collection fleets by generating data to meet model needs.
Deploy a virtual fleet to prototype new sensors and stacks before physical prototyping.
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