Robotic Computing on FPGAs Synthesis Lectures on Computer Architecture Series
Langue : Anglais
Auteurs : Liu Shaoshan, Wan Zishen, Yu Bo, Wang Yu
This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.
Preface.- Introduction and Overview.- FPGA Technologies.- Perception on FPGAs -- Deep Learning.- Perception on FPGAs -- Stereo Vision.- Localization on FPGAs.- Planning on FPGAs.- Multi-Robot Collaboration on FPGAs.- Autonomous Vehicles Powered by FPGAs.- Space Robots Powered by FPGAs.- Conclusion.- Bibliography.- Authors' Biographies.
Dr. Shaoshan Liu is founder and CEO of PerceptIn Inc, a company focusing on developing autonomous driving technologies. Dr. Liu has published more than 70 research papers, 40 U.S. patents, and over 150 international patents on autonomous driving technologies and robotics, as well as two books on autonomous driving technologies, Creating Autonomous Vehicle Systems (Morgan Claypool) and Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach (Wiley - IEEE). He is a senior member of IEEE, a Distinguished Speaker of the IEEE Computer Society, a Distinguished Speaker of ACM, and a founder of the IEEE Special Technical Community on Autonomous Driving Technologies. Dr. Liu received a Master of Public Administration (MPA) from Harvard Kennedy School, a Ph.D. in Computer Engineering from University of California, Irvine.
Zishen Wan received an M.S. degree from Harvard University, Cambridge, MA, USA, in 2020, and a B.S. degree from Harbin Institute of Technology, Harbin, China, in 2018, both in electrical engineering. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA, USA. He has a broad research interest in VLSI design, computer architecture, machine learning, and edge intelligence, with a focus on energy-efficient and robust hardware and system design for autonomous machines. He received the Best Paper Award at DAC 2020 and CAL 2020.
Dr. Bo Yu received a Ph.D. from the Institute of Microelectronics, Tsinghua University, Beijing, China, in 2013and a B.S. degree in electronic technology and science from Tianjin University, Tianjin, China, in 2006.He is currently the CTO of PerceptIn Inc, a company focusing on providing visual perception solutions for robotics and autonomous driving. His current research interests include algorithms and systems for robotics and autonomous vehicles. Dr. Yu is also a Founding Member of the IEEE Special Technical Community on Autonomous D
Date de parution : 06-2021
Ouvrage de 202 p.
19.1x23.5 cm
Thème de Robotic Computing on FPGAs :
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