國立清華大學資訊工程學系

Department of Computer Science

National Tsing Hua University

專題演講

SEMINAR

主講人：蔡欣穆教授

SPEAKER (國立台灣大學資工系)

題　目：Centimeter-level Indoor Visible Light Positioning

 TOPIC

時  間：109年3月18日(三)下午1點30分至3點

DATE　　

地　點：台達館106、107教室

PLACE

Abstract:

Positioning with visible light in the indoor environments have a number of advantages. Existing lighting infrastructure can be leveraged to save cost, simple optical propagation mechanisms lead to centimeter-level accuracy, and light sensor data can be processed with minimum computational power and energy consumption. In this talk, I will introduce our latest research works on the topic. In the first work, our idea is to retrofit existing luminaries with a special lampshade, generating polarized light to create “colors” that are invisible to human eyes, yet can be perceived by a simple color sensor and leveraged to position the user device very accurately. Another positioning technology, on the other hand, uses addressable LED tubes that replaces existing fluorescent tubes, to provide positioning service. With commodity cameras in many devices, tubes can be identified with simple yet imperceptible spatial patterns on the tube, providing coarse positioning results. Then, more fine-grained position estimation can be calculated with the appearance of the tube in the captured image. I will also show our evaluation results demonstrating centimeter-level accuracy in both works.

Bio:

Hsin-Mu (Michael) Tsai is a Professor in the Computer Science and Information Engineering at National Taiwan University, Taipei, Taiwan. He received his B.S.E in Computer Science and Information Engineering from National Taiwan University and his M.S. and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University. He spent a year in General Motors Research and Development as an intern researcher during his Ph.D. study. From 2013 to 2015, Dr. Tsai co-led the intelligent transportation system group in the Intel-NTU Connected Context Computing Center, a research center jointly established by Intel, National Taiwan University, and National Science Council, Taiwan, to address research challenges in Internet of Things.

Dr. Tsai's recognitions include 2018 Delta Research Excellence Award, 2017 NTU EECS Academic Contribution Award, 2015 ACM Taipei Chapter’s K. T. Li Young Researcher Award, 2014 Intel Labs Distinguished Collaborative Research Award, 2013 Intel Early Career Faculty Award (the first to receive this honor outside of North America and Europe), and 2013 National Taiwan University's Distinguished Teaching Award (awarded to top 1% teaching faculty at the university). He has served as General co-chair for IEEE Vehicular Networking Conference (VNC) 2018, TPC co-chairs for ACM CarSys 2017, IEEE VNC 2016, ACM VANET 2013, and as a founding co-chair for ACM Visible Light Communication System (VLCS) Workshop in 2014. His research interests include vehicular networking and communications, intelligent transportation systems, and visible light communications and positioning.

   聯絡人：高榮駿 教授