学术报告: Visual Crowdsourcing for Smart Mobility

发布时间:2018-06-20  阅读次数:1386

活动时间:2018-6-21  13:30pm
活动地点:济事楼 417

 

 Visual Crowdsourcing for Smart Mobility

肖煜 
  •   芬兰阿尔托大学助理教授
 
邀请人:饶卫雄教授

Abstract:
Visual crowdsourcing offers an inexpensive method to collect visual data for implementing tasks, such as 3D mapping and place detection, thanks to the prevalence of cameras. In this talk, we will present two application scenarios, including indoor mapping and navigation and collaborative driving. We will also discuss the challenges related to efficient data collection and latency-critical data processing.
 
Bio:
Yu Xiao is an assistant professor at Department of Communications and Networking (COMNET), Aalto University, Finland. She received her doctoral degree with distinction from Aalto University in January 2012, and her master and bachelor degrees from Beijing University of Posts and Telecommunications in 2007 and 2004, respectively. She won the young researcher award from Finnish Foundation for Technology Promotion in 2017. Her research interests have spanned from energy-efficient mobile computing, to edge computing, to crowdsensing, and to wearable cognitive computing.

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