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Session Track: Leveraging AI and Synthetic Data for In-Cabin Application

From R&D to Production – Optimising a Deep Learning Model for Deployment in an Embedded System Exemplified

InCabin

USA

Presentation

The presentation aims to show that modern deep learning models, developed by academic purposes can, in a simple way, be adapted to run efficiently on embedded accelerators. This will be exemplified with performance measurements for a DL model designed for a Nvidia desktop GPU (RTX 3090) running on a Texas Instruments C7x DSP (TDA4) for a real time application with a minimal loss of accuracy.

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Peter Kristiansen cropped converted
Peter Kristiansen
Head of Business Development
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The state-of-play in today's ADAS market

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