원문정보
초록
영어
In this paper, as the preliminary step for developing a multi-purpose “Robotic Space” platform to implement advanced technologies easily to realize smart interface to human. We will give an explanation for the Robotic Space system architecture designed and implemented in this study and a short review of existing techniques, since there exists several recent thorough books and review paper on this paper. We will focus on the main results with relevance to the Multi-Sensor Data Fusion with CI of Robotic Space. It is dealt with the general principle of the using the covariance intersection framework to combine mean and covariance estimates without information about their degree of correlation provides a direct solution to the distributed data fusion problem.
목차
1. Introduction
2. Structure of Robotic Space
2.1. Robotic Space Interface
3. Multi-Sensor Data Fusion with Covariance Intersection (CI)
3.1. Distributed Sensor Network
3.2. Using Covariance Intersection for Multi-Sensor Data Fusion
4. Measurement Data Fusion
5. Conclusion
Acknowledgements
References