The key to safety in autonomous vehicles is the right data, not more of it
Even if we are still in the early days of autonomous vehicles, it is clear we need to make the operation of them as human-like as possible.
Double MSc (Hons) in Physics, Electronic and Industrial Engineering, Politecnico di Milano and Ecole Centrale; MBA, INSEAD. Extensive international management experience and background in the automotive and electronic industries. Experience includes project and product management, marketing and business development roles at Schneider Electric. Former: Engineer, Toyota and Altis Semiconductor; Research Assistant in Photonics, Imperial College of London. Co-Founder and, since 2014, Chief Executive Officer, Prophesee.
Even if we are still in the early days of autonomous vehicles, it is clear we need to make the operation of them as human-like as possible.
Machines that don’t just see, but sense and interact with the environment around them, could end blindness and help us to build accident-free autonomous vehicles.