Welcome to IEEE CAVS 2018 in Chicago

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Keynote Speakers:


Dr. Xinzhou Wu, Senior Director of Engineering and Head of ADAS/Autonomous Driving R&D, Qualcomm

Title: Enabling Autonomy in Mass Production Vehicles
Abstract: Auto industry is moving at a rapid pace towards embracing different levels of autonomy into vehicles. While some players are focusing on bringing full autonomy capability to Robo-Taxi use cases with massive sensing and computing power at high cost, many automakers are looking into how to expand the current driver assistance (ADAS) systems to partial (SAE Level 2) and/or conditional automation (SAE Level 3) in the timeframe of 2021-2023, within the constraints of limited compute resources and low cost sensors – cameras, radars, and low cost GPS receivers. In this talk, we will dissect the key technology and system challenges of enabling autonomy within these constraints and discuss innovative technical solutions to address these challenges.

Speaker Bio: Dr. Xinzhou Wu is a Senior Director of Engineering at Qualcomm, and Head of Qualcomm's ADAS/Autonomous Driving R&D team. He is currently focusing on providing autonomous driving solutions with Qualcomm technologies in compute platforms, computer vision, deep learning, connectivity and positioning. Xinzhou started his career as a Member of Technical Staff at Flarion Technologies in Jan 2005, and subsequently joined Qualcomm in Jan 2006 as part of the Qualcomm acquisition. During his tenure at Qualcomm, Xinzhou has worked on many projects covering a wide range of topics, including cellular communication systems, peer-to-peer wireless networking, wireless ranging, V2X communications and networking, precise positioning and more recently, autonomous driving. Xinzhou's work has led to many publications and more than 1000 issued patents worldwide. His team also won multiple industrial awards in the automotive space, including ITS America Best Innovation Award 2015, ITS World Congress Hall of Fame Award 2015, and TU Automotive Award 2017. Xinzhou is a co-author of the book “OFDMA Mobile Broadband Communications – A Systems Approach” with Dr. Junyi Li and Dr. Rajiv Laroia.   Xinzhou received the B.E. degree from Tsinghua University, China in 1998, the M.S. and Ph.D. degrees from University of Illinois at Urbana-Champaign in 2000 and 2004, all in electrical engineering.
Dr. Ruigang Yang, Head of Robotics and Auto-Driving Lab, Baidu Research

Title: Baidu RAL: From Autonomous Driving to Robotics.
Abstract: Baidu is the leading internet search provider in China. In the last few years, it has invested heavily in AI-related R&D. Among these projects, autonomous driving is one of the most prominent. In this talk, I will introduce Baidu’s Apollo project that provides an open source and open capability platform for autonomous driving. In addition, I will introduce the newly founded Robotics and Autonomous Driving lab (RAL) in Baidu Research, which serves as the research arm for AD business and the exploration front for robotics research.

Speaker Bio: Ruigang Yang is currently the chief scientist for 3D Vision at Baidu Research and leads the Robotics and Autonomous Driving Lab (RAL). Before joining Baidu, Dr. Yang was a full-time professor of computer science at the University of Kentucky. He obtained his PhD from the University of North Carolina at Chapel Hill and his MS degree from Columbia University. His research interests span computer graphics and computer vision, and he is particularly interested in 3D reconstruction and 3D data analysis. Dr. Yang has published over 100 papers, which, according to Google Scholar, have received close to 10,000 citations with an h-index of 48 (as of 2017). He has received a number of awards including the US NSF Career Award in 2004 and the Dean’s Research Award in 2013. Dr. Yang is currently an associate editor of IEEE TPAMI and a senior member of IEEE.



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