Fusion algorithm for data including kinematic and attribute

Yi Nung Chung, Joy I. Chen

研究成果: Conference contribution

摘要

The main advantage of a multi-sensor fusion approach is to complement the data of one sensor with that of another sensor in order to obtain better target measurement information and to make a more accuracy estimation. In this paper, one image processing along with neural network algorithm is applied to solve the attribute information. The fundamental idea of this paper is that one decentralized estimation approach for a sensor fusion problems in which a Bayesian mathematical structure denoted 1-step maximum a posteriori estimate algorithm is applied for the data association. In such an algorithm, one also applied a techniques to combine the target attribute data to enhance the tracking results.

原文English
主出版物標題Proceedings of SPIE - The International Society for Optical Engineering
頁面395-405
頁數11
2561
出版狀態Published - 1995 十二月 1
事件Signal and Data Processing of Small Targets 1995 - San Diego, CA, USA
持續時間: 1995 七月 111995 七月 13

Other

OtherSignal and Data Processing of Small Targets 1995
城市San Diego, CA, USA
期間95-07-1195-07-13

    指紋

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

引用此

Chung, Y. N., & Chen, J. I. (1995). Fusion algorithm for data including kinematic and attribute. 於 Proceedings of SPIE - The International Society for Optical Engineering (卷 2561, 頁 395-405)