How ML Revolutionized the way Self-Driving Cars Perceive the World
Self-driving cars started as a distant dream about 80 years ago. These days, this vision is becoming reality and self-driving cars promise to revolutionize our society by improving our current mobility models, and most importantly, by radically reducing the number of road fatalities.Machine learning plays a central role in the perception and understanding capabilities that these vehicles require to correctly operate, not only under standard conditions, but also at the most unexpected situations.This talk will be around the way self-driving cars perceive the world, the key role that Machine Learning plays in there, and the open perception challenges that remain to be solved to have truly self-driving cars revolutionising our society.
Sebastian is a team lead of deep learning at Zenuity, joint venture of Volvo Cars and Autoliv. Before that, he was pursuing an industrial Ph.D. in computer science, with main focus on deep learning for perception of self-driving cars, at Daimler AG R&D and TU Dresden. During his studies, he also spent time as a visiting student at TU Munich, research intern at Siemens AG R&D and research assistant at the Computer Vision Center of Barcelona. Sebastian obtained his M.Sc. degree in computer vision from the Autonomous University of Barcelona and his B.Sc. degree in electronic engineering from the National University of Colombia. His research interests are at the intersection of computer vision, machine learning and robotics with a special focus on self-driving technology.
