Future trends in multisensor integration and fusion

  • Luo, Ren-C. (Center for Robotics and Intelligent Machines, North Carolina State University, Raleigh, NC 27695-7911) ;
  • Kay, Michael-G. (Center for Robotics and Intelligent Machines, North Carolina State University, Raleigh, NC 27695-7911) ;
  • Lee, W.Gary (Center for Robotics and Intelligent Machines, North Carolina State University, Raleigh, NC 27695-7911)
  • Published : 1992.10.01

Abstract

The need for intelligent systems that can operate in an unstructured, dynamic environment has created a growing demand for the use of multiple, distributed sensors. While most research in multisensor fusion has revolved around applications in object recognition-including military applications for automatic target recognition-developments in microsensor technology are encouraging more research in affordable, highly-redundant sensor networks. Three trends that are described at length are the increasing use of microsensors, the techniques that are used in the handling of partial or uncertain data, and the application of neural network techniques for sensor fusion.

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