Smart Car, Autonomous Navigation,
Stereo Vision-Based Visual Odometry and Obstacle Detection, Intelligent Safety Vehicle
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Professor, Ph.D. (KAIST, Korea) Phone: +82-62-530-1781 E-mail: joonlee at chonnam.ac.kr http://iis.jnu.ac.kr |
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Research Activities In the Autonomous Vehicle Lab., we do actively research for the technique application of Computer Vision, which is able to complement human vision, Smart Car and Advanced Safety Vehicle and Intelligent Traffic System. In particular, in the field of the Intelligence Safety Vehicle, the lane departure detection and lane keeping systems that use a single camera, high frequency sensor, radar, detecting objects ahead by analyzing information from the camera haven been developed. Stereo Vision Techniques for sensing cars and obstacles including pedestrians in front, visual odometry for ego-motion detection, and plus whatever techniques related to measuring distance are developed to help prevent accidents that happen to drivers and passersby, and to realize the autonomous driving – the unmanned driving. The development of these techniques is a very important facet of the research conducted in the lab. The other objects of our research are the application of the Telematics technique, which harmonize all the information from the data of the GPS (Global Positioning System), and camera information, in Real-Time-Tracking-Service and safe driving. Selected Publications 1. Detection of Road Obstacles Using Dynamic Programming for Remapped Stereo Images to a Top-View, IEEE Intelligent Vehicle Symposium, 2005, 764 – 769. 2. Vehicle Detection by Edge-Based Candidate Generation and Appearance-based Classification, IEEE Intelligent Vehicle Symposium, 2008, 428 – 433. 3. Detection of Preceding Vehicles Based on a Multistage Combination of Edge Features and Horizontal Symmetry, Journal of Control, Automation and Systems Engineering, 2008, Vol.14 No.7, 679 – 688. 4. A Stereo Matching Algorithm based on Top-view Transformation and Dynamic Programming for Road-vehicle Detection, International Journal of Control, Automation, and Systems, 2009, Vol. 7, No. 2, pp. 221-232. 5. Correction of Radial Distortion Based on Line-Fitting, International Journal of control Automation and Systems, 2010, Vol.8, No.3, pp.615-621. 6. Road Identification in Monocular Color Images Using Random Forest and Color Correlogram, International Journal of Automotive Technology, 2012, Vol. 12, No. 6, pp. 941-948 7. Accurate Dense Stereo Matching of Slanted Surfaces Using 2D Integral Images , Lecture Notes in Computer Vision, 2013, Vol. 7963, No. 1, pp. 284-293 | |
Tangible Interfaces for Collaboration and Interaction Design, Mobile HCI in Multi-Displays
using Smartphones, Augmented Reality/ Virtual Reality, and Semantic Patent Analysis
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Professor, Ph.D. (POSTECH, Korea) Phone: +82-62-530-1782 E-mail: jaeyeol at jnu.ac.kr https://sites.google.com/site/hcidesignlab/ |
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Research Activities In the HCI & Design Lab., we focus on various kinds of interaction and collaboration technologies in ubiquitous environments. Research interests include tangible user interface, AR/VR, semantic patent analysis, mobile HCI and intelligent user interface. Selected Publications 1. Dong Woo Seo, Jae Yeol Lee, "Direct hand touchable interactions in augmented reality environments and intutitive user experiences", Expert Systems with Applications, Vol. 40, No. 9, pp. 3784-3793, July 2013. 2. Dong Woo Seo, Jae Yeol Lee, "Physical query interface for tangible augmented tagging and interaction", Expert Systems with Applications , Vol. 40, No. 6, pp. 2032-2042, May 2013. 3. Sungchul Choi, et al (Jae Yeol Lee)., "SAO-based patent mining approach for technology roadmapping, R&D Management (SSCI), Vol. 43, No. 1, pp. 52-74, Jan. 2013. | |
Queuing Theory, Probability Modeling and Applied Stochastic Processes, Applications to Computer/Communication,
Production/Inventory, Transportation/Distribution, Sports, and Related Stochastic Systems, Computational Probability
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Professor, Ph.D. (KAIST, Korea) Phone: +82-62-530-1784 E-mail: freedom at chonnam.ac.kr http://freedom.jnu.ac.kr |
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Research Activities In the Stochastic Systems Lab., we study mathematical modeling of various stochastic systems and then analyze them theoretically and numerically using a diversity of stochastic theories, such as the queueing theory, and a variety of numerical methods, including the systems simulation. Based on the results of numerical and theoretical analyses, optimal design solutions, efficient management, and continuing improvement for the stochastic systems can be obtained. The major research activities are specified as follows: - Queuing Theory - Probability Modeling and Applied Stochastic Processes - Computational Probability - Systems Simulation - Applications to Computer/Communication, Production/Inventory, Transportation/Distribution, Sports, and Related Stochastic Systems Selected Publications Nam K. Kim, Mohan L. Chaudhry, Bong K. Yoon, Kilhwan Kim, Inverting Generating Functions with Increased Numerical Precision – A Computational Experience, Journal of Systems Science and Systems Engineering, 20(4), 475-494, 2011 Mohan L. Chaudhry, Bong K. Yoon, Nam K. Kim, Analysis of a Discrete-Time Finite-Capacity Single-Server Queue with Markovian-Arrival Process and Random-Bulk-Service: D-MAP/GY/1/M, Stochastic Analysis and Applications, 28(6), 1061-1077, 2010 Mohan L. Chaudhry, Bong K. Yoon, Nam K. Kim, On the Distribution of the Number of Customers in the D-BMAP/Ga,b/1/M Queue - A Simple Approach to a Complex Problem, INFOR, 48(2), 121-132, 2010 Awards Best paper of the year 2004 in Science and Technology (awarded by the Korean Federation of Science and Technology Societies) | |
Analysis and Design of Knowledge Service Systems, Analysis and Design of Human-System Interaction (Particularly, in Safety or Mission-Critical Systems), Design of Information Visualization-Based Human-Computer Cooperative Decision Making and Problem Solving System, User-Centered Service System Design, User Experience-Based Service System Quality Evaluation
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Professor, Ph.D. (KAIST, Korea) Phone: +82-62-530-1786 E-mail: dhham at jnu.ac.kr http://sites.google.com/site/donghanham |
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Research Activities The research activities of Knowledge Service Engineering Lab. aim to develop frameworks, methodologies, processes, and methods for designing a user-centered knowledge service systems. For this, we make use of concepts and principles of cognitive systems engineering that is concerned with the analysis, design, and evaluation of complex socio-technical systems. Additionally, we borrow several concepts and methods from software engineering, systems engineering, data science, and human-computer interaction. Although our research activities focus on the design of knowledge service systems, we also deal with various research issues on the design and evaluation of service systems, which include user experience measurement, service innovation strategies, service design frameworks, etc. Our research results can be applied to most of the service systems, such as healthcare service, education service, tourism service, infrastructure service, and product-service systems. Selected Publications 1. Dong-Han Ham, JinKyun Park, and Wondea Jung, "Model-Based Identification and Use of Task Complexity Factors of Human Integrated Systems,” Reliability Engineering and System Safety, Vol. 100, pp. 33-47, (2012). 2. Dong-Han Ham, JinKyun Park, and Wondea Jung, "A Framework-Based Approach to Identifying and Organizing the Complexity Factors of Human-System Interaction,” IEEE Systems Journal, Vol. 5(2), pp. 213-222, (2011). 3. Jeongyun Heo, Dong-Han Ham, Sanghyun Park, Chiwon Song, and Wan Chul Yoon, “A Framework for Evaluating the Usability of Mobile Phones Based on Multi-level, Hierarchical Model of Usability Factors,” Interacting with Computers, Vol. 21(4), pp. 263-275, (2009). | |
Technology Management Strategy, Technology Policy, Patent Analysis, Scientometrics,
Emerging Technology Detection
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Associate Professor, Ph.D. (Seoul National University, Korea) Phone: +82-62-530-1787 E-mail: innovation at jnu.ac.kr |
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Research Activities Technology Management Lab focuses on the theoretical development and practical application of ‘innovation theory’, ‘management of technology’ and ‘Techno-economics’. Main research topics include patent information analysis, scientometrics, technological catch-up strategy, emerging technology detection, and technological competitiveness assessment. Selected Publications 1. Joo, S.H., Kim, Y., Measuring Relatedness between Technological Fields, Scientometrics, Vol. 15, No. 3, pp. 435-454, 2010 2. Joo, S.H., Lee, K., Samsung Electronics’ Catch-up with Sony - An Analysis Using U.S. Patent Data, Journal of the Asia Pacific Economy, Vol. 83, pp. 271-287, 2010 | |
Statistical decision-making model for monitoring of process control systems in semiconductor manufacturing systems; Development of a statistical data mining methodology with diverse applications such as manufacturing system, healthcare, and intelligent transportation systems; Decision-making methodology in healthcare applications
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Professor, Ph.D. (Rutgers Univ., USA) Phone: +82-62-530-1790 E-mail: young.jeong at jnu.ac.kr |
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Research Activities The research activities of Data Mining Lab. has been focusing on 1) Statistical decision-making models for fault detection and classification (FDC) procedures & virtual metrology in semiconductor manufacturing processes; 2) Analysis of complicated functional data (time series data), and 3) Development of online monitoring models for a freeway in intelligent transportation systems. There are lots of challenging research problems in these domains, and our methodological strength allows us to provide a valuable contribution to both theoretical and application areas. A recurring theme in all our research is to develop the methodologies for spatial and time series data mining in diverse application domains such as manufacturing process, transportation, and healthcare. Selected Publications 1. Y. S. Jeong, Y. J. Byon, M. Castro-Neto, and S. Easa, "Online learning weighted support-vector regression for short-term traffic flow prediction," IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 4, pp. 1700-1707, (2013). 2. Y. S. Jeong, B. H. Kim, and Y.D. Koh, " Exponentially weighted moving average-based procedure with adaptive thresholding for monitoring nonlinear profiles: Monitoring of plasma etch process in semiconductor manufacturing," Expert Systems with Applications, vol. 40, pp. 5688-5693, (2013). 3. Y. S. Jeong, M. K. Jeong, and O. A. Omitaomu, 2011, "Weighted dynamic time warping for time series classification," Pattern Recognition, vol. 44, no. 4, pp. 2231-2240, (2011). 4. Y. S. Jeong, S. J. Kim, and M. K. Jeong, "Automatic identification of defect patterns in semiconductor wafer maps using spatial correlogram and dynamic time warping," IEEE Transactions on Semiconductor Manufacturing, vol. 21, no. 4, pp. 625-637, (2008). | |
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