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Machine Learning for Autonomous Driving: Recent Advances and Future Challenges

模式识别学术大讲堂
Advanced Lecture Series in Pattern Recognition
题    目 (TITLE):Machine Learning for Autonomous Driving: Recent Advances and Future Challenges
讲 座 人 (SPEAKER):Prof. Li Erran Li (the chief scientist at Pony.ai)
主 持 人 (CHAIR):Prof. Hanqing Lu
时    间 (TIME):10:00am, September 20 (Thursday), 2018
地    点 (VENUE):No.2 Conference Room (3rd floor), Intelligence Building
报告摘要(ABSTRACT):
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.

报告人简介(BIOGRAPHY):
Dr. Li Erran Li is the chief scientist at Pony.ai and an adjunct professor at Columbia University. Most recently, he was with the perception team at Uber ATG. Before that, he was at Bell Labs. Dr. Li’s current research interests are machine learning, computer vision and learning-based robotics.  Dr. Li has a PhD from the Computer Science Department at Cornell University. Dr. Li is an IEEE Fellow and an ACM Fellow.  

友情链接
 
中科院自动化研究所 模式识别国家重点实验室
NLPR, INSTITUTE OF AUTOMATION, CHNESE ACADEMY OF SCIENCES