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Events for January 15, 2014
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Astani CEE Seminar
Wed, Jan 15, 2014 @ 10:00 AM - 11:00 AM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Bill Spencer, Nathan M and Anne M. Newark Endowed Chair in Civil Engineering , University of Illinois at Urbana-Champaign
Talk Title: Structural Health Monitoring of Civil Infrastructure: from Research to Engineering Practice
Abstract:
The ability to continuously monitor the integrity of civil infrastructure in real-time offers the opportunity to reduce maintenance and inspection costs, while providing for increased safety to the public. Furthermore, after natural disasters, it is imperative that emergency facilities and evacuation routes, including bridges and highways, be assessed for safety. Addressing all of these issues is the objective of structural health monitoring (SHM). Smart sensors densely distributed over structures can provide rich information for structural health monitoring using their sensing, computational, and wireless communication capabilities. Though smart sensor technology has seen substantial advances during recent years, implementation of smart sensors on full-scale structures has been limited; interdisciplinary efforts to address issues in sensors, networks, and application specific algorithms have only now begun to germinate. Following an overview of these issues, a new paradigm for structural health monitoring employing a network of smart sensors will be presented. Because of its ability to meet the demands of data intensive applications such as SHM, MEMSIC’s Imote2 is adopted for this research. The system is deployed to monitor the Jindo Bridge, a cable-stayed bridge in South Korea with a 344m main span. This project constitutes the world’s largest deployment of wireless sensors to monitor civil infrastructure and signifies a new paradigm for structural health monitoring that is leading to dramatic improvements over existing capabilities. A preview of recent efforts toward campaign monitoring of railroad bridges will also be presented.
Biography: Bill Spencer received his Ph.D. in theoretical and applied mechanics from the University of Illinois at Urbana-Champaign in 1985. He worked on the faculty at the University of Notre Dame for 17 years before returning to the University of Illinois at Urbana-Champaign, where he currently holds the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering and is the Director of the Newmark Structural Engineering Laboratory. His research has been primarily in the areas of smart structures, stochastic fatigue, stochastic computational mechanics, and natural hazard mitigation. He is a Fellow of ASCE, a Foreign Member of the Polish Academy of Sciences, the North American Editor in Chief of Smart Structures and Systems, and the past president of the Asia-Pacific Network of Centers for Research in Smart Structures Technology.
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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PhD Defense - Wei Quan
Wed, Jan 15, 2014 @ 10:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Wei Quan
Title: Hybrid Methods for Robust Image Matching and Its Application in Augmented Reality
Committee:
Prof. Suya You (chair)
Prof. Ulrich Neumann
Prof. C. C. Jay Kuo (outside member)
This thesis presents new matching algorithms that work robustly in challenging situations. Image matching is a fundamental and challenging problem in vision community due to varied sensing techniques and imaging conditions. While it is almost impossible to find a general method that is optimized for all uses, we focus on those matching problems that are related to augmented reality (AR). Many AR applications have been developed on portable devices, but most are limited to indoor environments within a small workspace because their matching algorithms are not robust out of controlled conditions.
The first part of the thesis describes 2D to 2D image matching problems. Existing robust features are not suited for AR applications due to their computational cost. A fast matching scheme is applied to such features to increase matching speed by up to 10 times without sacrificing their robustness. Lighting variations can often cause match failures in outdoor environments. It is a challenging problem because any change in illumination causes unpredicted changes in image intensities. Some features have been specially designed to be lighting invariant. While these features handle linear or monotonic changes, they are not robust to more complex changes. This thesis presents a line-based feature that is robust to complex and large illumination variations. Both feature detector and descriptor are described in more detail.
The second part of the thesis describes image sequence matching with 3D point clouds. Feature-based matching becomes more challenging due to different structures between 2D and 3D data. The features extracted from one type of data are usually not repeatable in the other. An ICP-like method that iteratively aligns an image with a 3D point cloud is presented. While this method can be used to calculate the pose for a single frame, it is not efficient to apply it for all frames in the sequence. Once the first frame pose is obtained, the poses for subsequent frames can be tracked from 2D to 3D point correspondences. It is observed that not all points on LiDAR are suitable for tracking. A simple and efficient method is used to remove unstable LiDAR points and identify features on frames that are robust in the tracking process. With the above methods, the poses can be calculated more stably for the whole sequence.
With provided solutions to above challenging problems, we have applied our methods in an AR system. We describe each step in building up such a system from data collections and preprocessing, to pose calculations and trackings. The presented system is shown to be robust and promising for most AR-based applications.
Location: Charles Lee Powell Hall (PHE) - 333
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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Computer Science General Faculty Meeting
Wed, Jan 15, 2014 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Computer Science General Faculty Meeting.
Details emailed directly to attendees.
RSVP link also to be provided.Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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Summer Undergraduate Research Experience (SURE) Webinar
Wed, Jan 15, 2014 @ 02:00 PM - 03:00 PM
Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
The Viterbi School Summer Undergraduate Research Experience (SURE) offers highly-qualified students hands-on research experience in a wide variety of engineering disciplines.
Learn about all of the program details and benefits, the application criteria and how to apply.
Register Now!Location: Online
Audiences: Everyone Is Invited
Contact: Ray Fujioka/GAPP
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Spring Welcome
Wed, Jan 15, 2014 @ 05:00 PM - 06:30 PM
Viterbi School of Engineering Student Affairs
Student Activity
Welcome New Viterbi Students!
Come meet your peers, upper-division Viterbi students, and staff at this welcome reception. There will be food and activities as well as plenty of resources to jump start your Viterbi Life!Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: New Viterbi Students
Contact: Jenny Vazquez-Akim
