Innoactive XR Streaming and the Nvidia Omniverse platform has allowed Volkswagen to validate photorealistic digital twins using Apple’s Vision Pro XR headsets for the first time.
By harnessing the power of the OpenUSD format and Omniverse, combined with the newly released Nvidia spatial streaming, Innoactive’s XR Streaming uses this workflow to bring industrial digital twins to spatial devices anywhere, anytime, allowing them to stream massive, engineering-grade datasets using OpenUSD.
Innoactive says that its one-click XR streaming is capable of streamlining XR workflows with instant access to immersive 3D environments, supporting browser streaming and streaming to standard VR headsets for cost-effective solutions, while also enabling experiences on the Apple Vision Pro.
The set-up can also work via Cloud or on-premises GPUs, with high-performance rendering powered by Nvidia RTX technology and Nvidia Omniverse, while promising enterprise-grade security to protect sensitive data throughout the workflow.
“For valid decisions, we need visualisation technologies that allow us to simulate the real world,” said Dr. Axel Heinrich, head of innovation and systems architecture Volkswagen AG. “The Innoactive XR Streaming platform powers our Digital Reality Hub, and now with their support of Nvidia Omniverse, OpenUSD and Apple Vision Pro, we can do exact surface validation as well as early product decisions in ergonomics and user interaction – without needing any physical prototype, at lightning speed.
“This includes high precision and realistic visualisation of the surface, incorporating real-time lighting and shadowing. Additionally, it enhances the user car experience and provides insights into the experience of valency.”
Inactive adds that this collaboration also introduces hybrid rendering, a new technique that combines local and remote rendering. “Users can render fully interactive experiences in a single application from Apple’s native SwiftUI and Reality Kit with the Nvidia Omniverse RTX Renderer,” a spokesperson said, adding that this approach is central to creating real-time photorealistic digital twins, combining efficiency and fidelity to handle massive enterprise datasets.
