Smart ADAS Verification and Validation Methodology SAVVY

This project will deliver a novel, efficient and accelerated simulation and simulator-based V&V process for ADAS technologies creating building blocks for the V&V of future technologies based on Field Programmable Gate Array (FPGA) using deep learning and Convolutional Neural Network (CNN) algorithms.

 These methodologies will be evaluated throughout a product development lifecycle of a real-time ADAS control system.  

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