Machine Learning for Autonomous Driving: Recent Advances and Future Challenges
Tremendous progresses have been made in applying machine learning to autonomous driving. However, there are fundamental challenges ahead. In this talk, I will present recent advances in applying machine learning to solving the perception, prediction, planning and control problems of autonomous driving. I will discuss key research challenges in learning more robust and abstract representations, scene understanding, behavior prediction, and decision-making in complex real-world scenarios.
Dr. Li Erran Li is the chief scientist at Pony.ai and an adjunct professor at Columbia University. Prior to joining Pony.ai, he was with the perception team at Uber ATG and machine learning platform team at Uber. There, Erran worked on deep learning for autonomous driving, led the machine learning platform team technically and drove strategy for company-wide artificial intelligence initiatives. Before Uber, Erran worked at Bell Labs. Dr. Li’s current research interests are machine learning, computer vision, learning-based robotics and their application to autonomous driving. Dr. Li has a PhD from the Computer Science Department at Cornell University. Dr. Li is an IEEE Fellow and an ACM Fellow.