国家数学与交叉科学中心合肥分中心报告会

题  目：CoSLAM :Collaborative Visual SLAM in Dynamic Environments

报告人：Danping Zou (邹丹平)，新加坡国立大学

时间：2012年12月6日下午2:30-4:00

地点：管理科研楼1218室

Abstract: This work studies the problem of vision-based simultaneous localization and mapping (SLAM) in dynamic environments with multiple cameras. These cameras move independently and can be mounted on different platforms. All cameras work together to build a global map, including 3D positions of static background points and trajectories of moving foreground points. The authors address several challenging issues in designing such a SLAM system. Results show that the proposed CoSLAM system can handle highly dynamic scenes and automatically group cameras into different cliques where cameras work collaboratively. The system were tested using as many as 12 cameras to work together to build an indoor scene.

Short Bio: Danping Zou received the BS degree from Huazhong University of Science and Technology(HUST) in 2003 and the PhD degree from Fudan University in 2010 in China. He is now a research fellow in the Department of Electrical and Computer Engineering at National University of Singapore. His research interests include video tracking and low-level 3D vision.

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