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Data fusion and sensor selection from imperfect sources with regards to the operating environment

International Journal of Intelligent Computing and Cybernetics 2013年第4期6卷 358-369页

作者： Edwin El-Mahassni isrd 200 labs EdinburghAustralia

Purpose–The purpose of this paper is to extend the work of fusing sensors with a Bayesian method to incorporate the sensor’s reliability with regard to their operating *** results are then to be used with the expected decision formula,conditional entropy and mutual information for suboptimally selecting which types of sensors should be fused where there are operational ***/methodology/approach–The approach is an extension of previous work incorporating an environment *** expected decision formula then forms the basis for sensor ***–The author found that the performance of the sensors is correlated to the environment of operation,given that the likelihood of error will be higher in a difficult terrain than would otherwise be the ***,the author also shows the sensors for fusion will vary if the author knows specifically which terrain the sensors will be operating *** limitations/implications–The author notes that in order for this technique to be effective,a proper understanding of the limitations of the sensors,possible terrain types and targets have to be *** implications–The practical implication of this work is the ability to assess the performance of fused sensors according to the environment or terrain they might be operating under,thus providing a greater level of sensitivity than would otherwise be the ***/value–The author has extended previous ideas on sensor fusion from imprecise and uncertain sources using a Bayesian technique,as well as developed techniques regarding which sensors should be chosen for fusion given payload or other constraints.

关键词： Decision theory Information fusion

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