CERN developing faster machine learning for AVs Traffic Technology Today

Swedish autonomous driving software developer Zenuity has become the first automotive company to team up with CERN, the European Organization for Nuclear Research, in the development of fast machine learning for self-driving cars. A fundamental challenge in the development of autonomous vehicles (AV) is the interpretation of the huge quantities of data generated by normal driving conditions, such as identifying pedestrians and vehicles with the sensors on the car, including cameras, lidar and radars. Addressing these issues is crucial for the development of safe AVs and is a key part of Zenuity's long-term ambition to speed up the development of vehicles that will completely eliminate collisions and associated injuries and fatalities. Zenuity hopes that this collaboration with CERN will ultimately help it develop AV that can reach decisions and make predictions more quickly, thus avoiding accidents. One of the main quests at CERN is to study the standard model of particle physics by collecting large quantities of data originating from particle collisions produced by CERN's Large Hadron Collider (LHC) located at its laboratory on the Swiss-French border.