Earticle

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

Abstract
 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

키워드

저자

• Taeseok Jin [ Department of Mechatronics Engineering, Dongseo University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605