Robotics and Computer Vision Lab
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.
Object Recognition and Categorization
3D Reconstruction and Optimization
Mobile Robot SLAM Navigation
Sensor Fusion: Mega City Modeling
Robust Feature Extraction and Matching
We are currently working on computer vision and its application to robots. The most outperforming research on Image understanding area is ‘Multi-labeling’ that can analyze an image and automatically finds class label. Moreover, we established robust correspondence searching method. Our method has robust feature matching competence in view point and illumination condition changes. Another research area is robotics related topics. In this area, we developed new metrology of camera-laser calibration and 3D reconstruction method using fusion sensor data. In addition, we applied our techniques to robot named “VISTRO” which can be used for home service purpose. It can recognize objects and travel
inside building freely.