aiSim 3.0 Builds on Vulkan Ray Tracing to Validate Automated Driving

By Tiera Oliver

Associate Editor

Embedded Computing Design

March 29, 2021

News

aiSim 3.0 Builds on Vulkan Ray Tracing to Validate Automated Driving

AImotive announced it has integrated the Khronos Group’s Vulkan API to improve raytracing performance in aiSim 3.0.
 

Per the company, the world’s first ISO26262 certified, automotive-grade open simulator tool for automated driving development, aiSim, is designed to simulate all major sensor modalities required for automated driving. The next generation of the simulator, aiSim 3.0 will launch in April 2021.

aiSim can provide the suitable coverage for various hardware platforms by utilizing the industry standard Vulkan API. Also, per the company, use of the recent Vulkan Ray Tracing extension improves simulation performance by distributing rendering tasks to available GPU ray tracing hardware. It also enables creation of the next level of physically realistic input for the sensors, including cameras, LiDAR, and radar through the correct simulation of lights, weather within a holistic environment.

Thanks to efficient data sharing and streaming, aiSim enables real-time simulation for HIL (Hardware-in-the-Loop), even for complex sensor setups.

“Vulkan provides explicit control over GPU acceleration so that sophisticated developers such as aiSim can unlock the full potential of underlying platforms for their customers that demand high performance and visual realism. As an open standard, Vulkan Ray Tracing has now unlocked a real-time rendering technology previously only available in expensive cinematic visual effects on low-cost workstations and personal computers from multiple manufacturers. The accuracy and physical correctness of ray tracing is particularly well suited to simulation environments, and we are pleased to see professional automotive applications using this new Vulkan capability alongside gaming.” – said Neil Trevett, Khronos President.


For more information, visit: www.aimotive.com or https://www.khronos.org/

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AImotive

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Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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