Fusion algorithm for data including kinematic and attribute

Yi Nung Chung, Joy I. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages395-405
Number of pages11
Volume2561
Publication statusPublished - 1995 Dec 1
EventSignal and Data Processing of Small Targets 1995 - San Diego, CA, USA
Duration: 1995 Jul 111995 Jul 13

Other

OtherSignal and Data Processing of Small Targets 1995
CitySan Diego, CA, USA
Period95-07-1195-07-13

All Science Journal Classification (ASJC) codes

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

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