题目：Visual Mapping and Localisation for Autonomous Navigation
主讲概况：Dongbing Gu，University of Essex教授。研究专长：无人车导航、深度学习。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。
主讲内容：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.