Monday, November 18, 2019
1400 Wegmans Hall
Edge Computing for Autonomous Driving: Opportunities and Challenges
Autonomous vehicle and robot systems are extremely complex systems that tightly integrate many technologies, including sensing, localization, perception, decision making, as well as the smooth interactions with cloud platforms for high-definition (HD) map generation and data storage. These complexities impose numerous challenges for the design of autonomous vehicle edge computing systems. First, the edge computing systems for autonomous driving need to process an enormous amount of data in real-time, and often the incoming data from different sensors is highly heterogeneous. Since autonomous vehicle edge computing systems are mobile systems, they often have very strict energy consumption restrictions. Hence, it is imperative to deliver sufficient computing power with reasonable energy consumption, to guarantee the safety of autonomous vehicles, even at high speed. Second, in addition to the edge system design, vehicle-to-everything (V2X) provides redundancy for autonomous driving workloads, and alleviates stringent performance and energy constraints on the edge side. With V2X, more research is required to define how vehicles can cooperate with each other and with the infrastructure. Last but not least, safety cannot be guaranteed with security compromised. Thus, protecting autonomous driving edge computing systems against attacks at different layers of the sensing and computing stack is of paramount concern. In this talk, we provide real-world challenges of autonomous vehicle and robot edge systems, review state-of-the-art approaches in these areas as well as to explore the potential solutions to address these challenges.
Dr. Shaoshan Liu is Founder and CEO of PerceptIn (www.perceptin.io), a company focusing on providing visual intelligence solutions for autonomous robots and vehicles. Before founding PerceptIn, Dr. Shaoshan Liu was a founding member of Baidu U.S.A. as well as the Baidu Autonomous Driving Unit, in charge of system integration of autonomous driving systems. Dr. Shaoshan Liu received Ph.D. in Computer Engineering from University of California, Irvine. His research focuses on Computer Architecture, Deep Learning Infrastructure, Robotics, and Autonomous Driving. Dr. Shaoshan Liu has published over 50 research papers and holds over 150 international patents on robotics and autonomous driving. In addition, Dr. Shaoshan Liu co-founded the IEEE Special Technical Community on Autonomous Driving Technologies and serves as the Founding Vice President. Dr. Shaoshan Liu is a senior member of IEEE, an ACM Distinguished Speak, and a IEEE Computer Society Distinguished Speaker.