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Dr. Shaoshan Liu is chairman and co-founder of PerceptIn. He attended UC Irvine for his undergraduate and graduate studies and obtained a Ph.D. in Computer Engineering in 2010. His research focuses on Computer Architecture, Big Data Platforms, Deep Learning Infrastructure, and Robotics. He has over eight years of industry experience: before founding PerceptIn, he was with Baidu USA, where he led the Autonomous Driving Systems team. Before joining Baidu USA, he worked on Big Data platforms at LinkedIn, Operating Systems kernel at Microsoft, Reconfigurable Computing at Microsoft Research, GPU Computing at INRIA (France), Runtime Systems at Intel Research, and Hardware at Broadcom. Dr. Liyun Li is currently a software architect at Baidu's Silicon Valley research center in Sunnyvale, CA. As one of the early members in Baidu's Autonomous Driving team, he has been leading and driving the efforts of developing autonomous driving technologies including smart behavioral decision, motion planning, and vehicle control for Baidu's autonomous vehicle. Before joining Baidu, he worked as a senior software engineer at LinkedIn, now a Microsoft subsidiary. He obtained his Ph.D. in Computer Science from New York University, with a research focus on applied machine learning. Dr. Jie Tang is currently an associate professor in the School of Computer Science and Engineering of South China University of Technology, Guangzhou, China. Before joining SCUT, Dr. Tang was a post-doctoral researcher at the University of California, Riverside and Clarkson University from December 2013 to August 2015. She received the B.E. from the University of Defense Technology in 2006, and the Ph.D. degree from the Beijing Institute of Technology in 2012, both in Computer Science. From 2009-2011, she was a visiting researcher at the PArallel Systems and Computer Architecture Lab at the University of California, Irvine, USA.
Preface Introduction to Autonomous Driving Autonomous Vehicle Localization Perception in Autonomous Driving Deep Learning in Autonomous Driving Perception Prediction and Routing Decision, Planning, and Control Reinforcement Learning-based Planning and Control Client Systems for Autonomous Driving Cloud Platform for Autonomous Driving Author Biographies