Designing an Optimal AI Inference Pipeline for Autonomous Driving – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-31T20:50:22Z http://www.open-lab.net/blog/feed/ Shankar Chandrasekaran <![CDATA[Designing an Optimal AI Inference Pipeline for Autonomous Driving]]> http://www.open-lab.net/blog/?p=57652 2023-06-12T08:32:34Z 2022-11-30T18:00:00Z Self-driving cars must be able to detect objects quickly and accurately to ensure the safety of their drivers and other drivers on the road. Due to this need...]]> Self-driving cars must be able to detect objects quickly and accurately to ensure the safety of their drivers and other drivers on the road. Due to this need...

Self-driving cars must be able to detect objects quickly and accurately to ensure the safety of their drivers and other drivers on the road. Due to this need for real-time processing in autonomous driving (AD) and visual inspection use cases, multiple AI models with preprocessing and postprocessing logic are combined in a pipeline and used for machine learning (ML) inference.

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