报告题目：
Fundamentals of Probabilistic Estimation
报告人：
Dr. Mao Shan, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia（澳大利亚悉尼大学-澳大利亚室外机器人研究中心，研究员）
报告时间：
北京时间2021年06月11日（星期五） 下午15:00-17:00
北京时间2021年06月15日（星期二） 下午15:00-18:00
线上报告接入方式：
腾讯会议 (VooV Meeting)， 会议 ID：649 379 341
联系人：
苏道毕力格 sudao@cau.edu.cn
欢迎各位老师同学线上参加。
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Seminar Topics：
Fundamentals of Probabilistic Estimation
International Experts：
Dr. Mao Shan, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia
Time：
Beijing Time (UTC +8:00) June 11st, 2021 (Friday) 15:00PM-17:00PM
Beijing Time (UTC +8:00) June 15th, 2021 (Tuesday) 15:00PM-18:00PM
Online Meeting：
VooV Meeting, Meeting ID：649 379 341
Contact：
Daobilige Su sudao@cau.edu.cn
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摘要（Abstracts）：
This course is intended for students who are new to probabilistic estimation and sensor fusion. Delivered in two parts, the course is mainly focused on fundamentals of estimation, including, but not limited to, Bayesian estimation, Kalman filter, unscented Kalman filter, and particle filter. Matlab code is available for examples presented in the course.
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简介（Bios）:
Dr. Mao Shan received his B.S. degree in electrical engineering in 2006 from Shaanxi University of Science and Technology, Xi'an, China, and the M.S. degree and Ph.D. degree from The University of Sydney, Australia, in 2009 and 2014, respectively. He was a Research Associate at The University of Sydney, Australia, from 2014 to 2016, and a Research Fellow at Nanyang Technological University, Singapore, from 2016 to 2017. Currently, he is a Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia. His research interests include autonomous systems, V2X communication, cooperative perception, sensor fusion, localisation and tracking.