Keynote Speakers:
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| Dr. Xinzhou Wu, Senior Director of Engineering and Head of ADAS/Autonomous Driving R&D,
Qualcomm |
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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.
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| Dr.
Ruigang Yang, Head of Robotics and Auto-Driving Lab,
Baidu Research |
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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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