Robotics and Computer Vision Lab


Lab Name and Affiliation

Robotics and Computer Vision Lab

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Lab Director (or Principal Investigator)

In So Kweon

In So Kweon received the BS and MS degrees in Mechanical Design and Production Engineering from Seoul National University, Seoul, Korea, in 1981 and 1983, respectively, and the PhD degree in Robotics from the Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, in 1990. He worked for the Toshiba R&D Center, Japan, and joined the Department of Automation and Design Engineering, KAIST, Seoul, Korea, in 1992, where he is now a professor with the Department of Electrical Engineering. His research interests are sensor fusion, color modeling and analysis, visual tracking, and visual SLAM. He was the general chair for the Asian Conference on Computer Vision 2012 and he is on the editorial board of the International Journal of Computer Vision. He has been serving as a director for P3 DigiCar Center which is one of the National Core Research Center since 2010.

Lab Introduction

Robotics and Computer Vision Laboratory was established in 1993 to analyze the cognition capability of the human visual system and to develop high-performance computer vision system. We have succeeded in developing and commercializing many automatic systems, and have developed vision systems for intelligent mobile robots and unmanned vehicles.
We research and apply features to intelligent mobile robots for robust robot vision. Besides, we also research robot localization technology based on vision for network-based intelligent robots and embedded system technology to commercialize our vision systems.
In addition, we are doing various tasks related to national defense and developing vision system in cooperation with some companies simultaneously.

Research Topics
Object Recognition and Categorization
3D Reconstruction and Optimization
Mobile Robot SLAM Navigation
Sensor Fusion: Mega City Modeling
Robust Feature Extraction and Matching

Lab Contact E-mail