Topic:
Localization and Navigation of Unmanned Systems
Speaker:
Prof.Lihua Xie
School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore
Time:14:00-, Tuesday, 17th, November
How to join:
Offline:公司宝山校区东区机自大楼伯时会堂（322房间）
Online: Tencent/Voov Meeting[ID：308 429 369]
Biography:
Prof. Lihua Xie received the Ph.D. degree in electrical engineering from the University of Newcastle, Australia, in 1992. He was with the Department of Automatic Control, Nanjing University of Science and Technology from 1986 to 1989. Since 1992, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he is currently a professor and the Director of the Delta-NTU Corporate Laboratory for Cyber-Physical Systems. He served as the Head of Division of Control and Instrumentation from July 2011 to June 2014. His research areas include robust control, networked control, compressive sensing, localization and unmanned systems. He has published 9 books, over 800 article including 445 journal articles, and 5 patents. He has been listed as a highly cited researcher by Thomson Routers and Clarivate Analytics annually since 2014. He is currently an Editor-in-Chief of Unmanned Systems and Associate Editor of IEEE Transactions on Control of Network Systems. He has served as an Editor of IET Book Series on Control and Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, Automatica, IEEE Transactions on Circuits and Systems-II, etc. He was an IEEE Distinguished Lecturer (2011-2014) and an elected member of the Board of Governors of IEEE Control System Society (Jan. 2016- Dec. 2018). He is Fellow of Academy of Engineering Singapore, Fellow of IEEE, and Fellow of IFAC.
Abstract:
The Localization and navigation are essential capabilities of any unmanned systems. GPS has been widely used for positioning and navigation. However, in indoor environments and many outdoor environments such as urban canon and forest, GPS may not be available or unreliable. Hence, there has been a lot of interest in developing technologies and algorithms for localization in such environments. In this talk, we shall discuss some recent research on this topic. We shall discuss localization leveraging on various technologies including UWB, LiDAR and vision, and their combination through multi-modality sensor fusion. In particular, we shall focus on recently developed distance based relative localization, docking and formation, graph optimization based multi-modality sensor fusion for localization, and reinforcement learning based mapless navigation. We shall demonstrate their applications in unmanned ground and aerial vehicles for logistics and structure inspection.
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(二维码有效期：2020-11-12)
