报告内容摘要：

Visual mapping and localisation or Visual SLAM is a technique to estimate the change of a mobile platform in position and orientation over time by using the measurements from on-board cameras. It attracts significant attentions from large number of researchers and is gaining the popularity in various potential applications. However, it is very challenging in both of technical development and engineering implementation when accuracy, real time performance, robustness, and operation scale are taken into consideration. This talk is to report the state of the art visual mapping and localisation techniques from the perspectives of filtering and optimisation based approaches, which are two dominated approaches adopted in the research area. Various filtering based approaches and optimisation based approaches are introduced and their link will be clarified. Recently, deep learning algorithms provide a new dimension to this research area, which can deduce the mapping or localisation information directly from image data rather than image features. Our recent work on applying deep neural networks to visual mapping and localisation research will be introduced. In the talk, visual mapping and localisation techniques are targeted to the application scenarios of robotic navigation. Some video clips will be demonstrated during the talk.

报告人简介：

Dongbing Gu is a professor in School of Computer Science and Electronic Engineering, University of Essex, UK. His current research interests include autonomous systems, robotics, navigation and control, mapping and localisation, cooperative control, and machine learning. He has published more than 200 papers in international conferences and journals.  His research has been supported by Royal Society, EPSRC, EU FP7, British Council, and industries. He is a board member of International Journal of Model, Identification, and Control, Cognitive Computations, Intelligent Industrial Systems, and Frontiers Robotics and AI. He served as a member of organizing committee and programme committee for many international conferences. Prof. Gu is a senior member of IEEE.
 
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