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Approaches to Multisensor Data Fusion in Target Tracking: A Survey
Abstract
The tracking of objects using distributed multiple sensors is an important field of work in the application areas of autonomous robotics, military applications, and mobile systems. In this survey, we review a number of computationally intelligent methods that are used for developing robust tracking schemes through sensor data fusion. The survey discusses the application of the various algorithms at different layers of the JDL model and highlights the weaknesses and strengths of the approaches in the context of different applications.
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Metadata
- Authors
- Smith, D., & Singh, S.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 2006-12
- Volume
- 18
- Issue
- 12
- Pages
- 1696-1710
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2105845337
- Cited by
- 379
- References
- 92
- FWCI
- 18.75
- Type
- journal article
- Language
- en
- Open access
- closed
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