Ansys Accelerates Autonomous Vehicle Development with NVIDIA Omniverse
Support for OpenUSD and Integration of Ansys AVxcelerate Sensors within NVIDIA DRIVE Sim, powered by NVIDIA Omniverse, improves development and validation of AV perception systems
/ Key Highlights
- In Q1 2024, Ansys AVxcelerate Sensors will be accessible within NVIDIA DRIVE Sim, a scenario-based autonomous vehicle (AV) simulator powered by NVIDIA Omniverse
Ansys will augment NVIDIA DRIVE Sim's powerful scenario generation capabilities to enhance advanced driver assistance systems (ADAS) and AV perception development with predictively accurate physics solvers for camera, lidar, radar, and thermal camera sensors
Ensuring AV safety and reliability is among the most significant challenges engineers face today. Sensor suites and software must be extensively tested and validated in real-world driving scenarios — including critical edge cases — to safely navigate roadways. The scale of this challenge is too large for physical on-road testing alone, which would require an estimated billions of miles. The future of AVs depends on highly realistic, scalable simulations to test and validate AV sensor and software performance in a controlled virtual environment.
The combined strengths of NVIDIA and
"Integrating Ansys AVxcelerate Sensors simulation with DRIVE Sim offers developers greater flexibility to develop, test, and validate their autonomous vehicle software," said
An open ecosystem approach is foundational to collaboration. NVIDIA Omniverse enables users to develop OpenUSD-based 3D workflows. OpenUSD's flexibility and modularity allows developers to not only build scalable simulations but also acts as a data factory for AI model training. Developers can harness Omniverse to build their custom synthetic data generation pipelines and generate annotated data to train the on-board computer vision models. The connection with Ansys AVxcelerate Sensors, built with application programming interfaces (APIs), facilitates a seamless integration of
"Perception is crucial for AV systems, and it requires validation through real-world data for the AI to make smart, safe decisions," said
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