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
Simulation is crucial for developing and validating safety-critical features in autonomous vehicles (AVs), but it requires extensive testing before deployment. High-fidelity simulation provides a safe, controlled, and realistic environment for training AV systems across various scenarios. This technology effectively simulates real-world conditions, allowing for vehicles' safe testing and validation through a digital twin before they’re road-ready.
Why AV Simulation Matters:
Accurately model diverse driving conditions such as adverse weather, traffic changes, and rare or dangerous scenarios.
Use virtual testing to cut development and validation costs by minimizing physical tests.
Deploy a virtual fleet to prototype new sensors and stacks before any physical prototyping.
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NVIDIA Omniverse™ Cloud APIs for Autonomous Vehicle Simulation, built on OpenUSD and NVIDIA RTX™, are designed to let sim developers enhance their AV simulation workflows with high-fidelity sensor simulation, physics, and realistic behavior. With these APIs, you can connect to a vast ecosystem of partners building simulation tools for vehicle dynamics and traffic. You can also bring in USD content to expand to new locales and tackle new operational design domains (ODDs).
Sensor RTX Microservices enable physically based and neural rendering of sensors commonly deployed on autonomous vehicles, including cameras, lidar, radar, and ultrasonics sensors. The rendered synthetic data and ground-truth labels can be used for training perception models and validating the AV software stack in closed-loop testing.
Autonomous Vehicle Sensor Simulation, Powered by Omniverse Cloud APIs
See how Foretellix uses NVIDIA Omniverse Cloud APIs to generate high-fidelity sensor simulation for autonomous vehicle development.
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