THE PROJECT COULD HELP SELF-DRIVING CARS MAKE BETTER DECISIONS FASTER AND AVOID COLLISIONS – DURKKAS INFOTECH

When collecting data from collisions, CERN also needs fast and efficient decision-making when analyzing millions of particle collisions produced by the Large Hadron Collider (LHC) detector. His unique data analysis skills have led CERN and his Zenseact to work together to study how to apply high energy physics organization machine learning techniques to the field of autonomous driving. So-called Field Programmable Gate Arrays (FPGAs) were chosen as a hardware benchmark for handling computer vision tasks. FPGAs, long used at CERN, are configurable integrated circuits that can execute complex decision-making algorithms in microseconds. Best of all, even processing units with limited computing resources were able to perform tasks with high precision and low latency.