Unmanned systems have applications in many areas such as surveillance, transport, structure inspection, logistics, etc. Perception and localization are essential capabilities of unmanned systems. There have been a lot of studies on perception and localization based on various sensors such as camera and LiDAR. Each type of sensor has its pros and cons. Different application scenario will require different sensors and there is no one-size-fits-all solution. To achieve accurate and reliable localization in complex environments, heterogeneous sensor fusion has been a recent trend and attracted significant interest. In this talk, we shall present some recent development and discuss possible future directions of the area. The applications of unmanned systems in structure inspection and logistics will be demonstrated.
Dr Xie Lihua is a professor in the School of Electrical and Electronic Engineering, Nanyang Technological University and Director, Center for Advanced Robotics Technology Innovation (CARTIN). He had served as Head of Control and Instrumentation Division and Director of Delta-NTU Corporate Laboratory for Cyber-Physical Systems. His research areas include control engineering, indoor positioning, and unmanned systems. He has authored and co-authored 9 books, over 500 journal and 380 conference articles, and 20 patents/technical disclosures. He was listed as a highly cited researcher annually from 2014 to 2020. He has secured over $90M research funding as programme and project PI. He is currently an Editor-in-Chief of Unmanned Systems and has served as an Editor of IET Book Series on Control and Associate Editor of IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Control of Network Systems, etc. He was an IEEE Distinguished Lecturer (2011- 2014). Professor Xie is a Fellow of IEEE, a Fellow of IFAC, and a Fellow of Academy of Engineering Singapore.
Venue: Online Zoom Meeting Wednesday, 23 February 2022 10:00 am – 11:00 am
(Registration starts at 9:45 am)
Register at URL: https://bit.ly/3A5XWNt