报告题目：Towards Ubiquitous Indoor Localization Coverage for the Planet

报告时间：2016年1月5日下午3点

报告地点：华中科技大学光电实验室A302

报告人：叶凡（Ye Fan）

Abstract: Indoor localization is the basis for many Location Based Services.

So far its availability is still sporadic. The industry state-of-the-art,

Google Indoor Maps, covers about 10,000 locations world wide, which is

only a small fraction of buildings such as shopping malls, train stations,

airports, museums, stadiums on the Earth. Two fundamental obstacles exist:

1) mainstream indoor localization technologies rely on RF signatures that

require extensive human efforts to measure and periodically re-calibrate;

2) service providers do not have floor plan data and have to go

through effort intensive business negotiations to obtain them from various

sources. This talk presents two projects targeting the two problems. In

Sextant, we leverage environmental physical features that are stable over

time thus eliminating the periodic calibration efforts. Users measure their

relative locations to these features with smartphones to obtain their

location. In Jigsaw, we gather image and inertial data from smartphone users

, combine vision and mobile techniques to construct the floor plans with

reasonable accuracy. Together they hold the promise to ubiquitous coverage

of indoor localization service for the whole planet.

Speaker’s Short Bio: Dr. Fan Ye received his Ph.D. from the Computer Science

Department of UCLA. He got his M.S. and B.E. from Tsinghua University. He joined

IBM T. J. Watson as a Research Staff Member working on multiple projects including

stream processing systems, cloud and wide area messaging, mobile crowdsensing.

He is currently an Assistant Professor in the ECE department of Stony Brook University.

His Ph.D. dissertation was on wireless sensor networks. He has published over 60

peer reviewed papers that have received about 7000 citations according to Google

Scholar. He has 21 granted/pending US and international patents/applications.

He was the cochair for the Mobile Computing Professional Interests Community at

IBM Watson for two years. He received IBM Research Division Award, 5 Invention

Achievement Plateau awards, Best Paper Award for International Conference on

Parallel Computing 2008.

His current research interests include mobile sensing platforms, systems and

applications, Internet-of-Things, indoor location sensing, wireless and sensor networks.

叶凡博士在UCLA计算机系获得博士学位，清华大学获得学士和硕士学位。曾任IBM研究员，

目前是纽约州立大学石溪分校的助理教授。主要研究领域包括：移动感知平台、系统和应用，

物联网，室内定位感知，无线和感知网络。