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Fall 2014 GRASP Seminar – Hong Zhang, University of Alberta, “Scalable Visual Mapping”
November 21, 2014 @ 11:00 am - 12:00 pm
Abstract: One area of significant progress in robotics research in recent years has been the use of visual sensing by mobile robots to map an environment and negotiate routes within the environment. This growth is mostly attributed to the rich textural information in visual sensory data compared with the traditional range data, as well as to the great strides made in the development of efficient and robust computer vision and image processing algorithms. In this talk, I will give an overview of the recent progress in appearance-based visual SLAM (simultaneous localization and mapping) algorithms, and highlight our research in scalable and accurate visual SLAM algorithms using whole image descriptors. As well, I will describe our current work in dealing with dynamically changing environments, and our involvement in the NSERC Canadian Field Robotics Network (NCFRN).