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Issue No. 12 - December (2006 vol. 18)
ISSN: 1041-4347
pp: 1696-1710
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
INDEX TERMS
distributed sensors, sensor fusion, target tracking,multisensor data fusion, target tracking, distributed multiple sensors, robust tracking, JDL model,Target tracking, Intelligent sensors, Military computing, Sensor systems and applications, Mobile robots, Robot sensing systems, Computational intelligence, Intelligent robots, Competitive intelligence, Robustness,Distributed sensors, tracking, information fusion, data fusion.
CITATION
"Approaches to Multisensor Data Fusion in Target Tracking: A Survey", IEEE Transactions on Knowledge & Data Engineering, vol. 18, no. , pp. 1696-1710, December 2006, doi:10.1109/TKDE.2006.183
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