A Pragmatic Approach for the use of Dempster-Shafer Theory in Fusing Realistic Sensor Data
A Pragmatic Approach for the use of Dempster-Shafer Theory in Fusing Realistic Sensor Data
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发表时间：
2014-12
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通讯作者：
P. Valin;Pascal Djiknavorian;É. Bossé
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作者：
P. Valin;Pascal Djiknavorian;É. Bossé
这篇文章讨论了Dempster-Shafer（DS）理论的性能，当它被稍微修改，以防止它在积累支持证据时变得过于确定。因为这是通过要求无知永远不会变得太小来实现的，所以人们可以将DS理论的这种变体称为“持有DS”。这样做，可以确保DS可以快速响应其融合的证据的一致变化。只有现实的数据被融合，其中现实主义是讨论数据的确定性和数据的准确性，从而避免扎德的悖论。性能测量的手持DS提供了各种阈值的传感器数据的确定性和融合精度，以帮助设计人员事先评估，通过适当地改变阈值，可实现的性能方面的估计的确定性，和准确性的数据，必须融合。性能测量是双重的，第一是在融合数据一致时的稳定性方面，第二是在待融合数据中发生突变时的响应时间延迟方面。这两个性能指标必须相互权衡，这就是为什么性能曲线对于使用Thresholded-DS的多源信息融合系统的设计者非常有帮助。
This article addresses the performance of Dempster-Shafer (DS)theory, when it is slightly modified to prevent it from becoming too certain of its decision upon accumulation of supporting evidence.Since this is done by requiring that the ignorance never becomes too small, one can refer to this variant of DS theory as Thresholded-DS. In doing so, one ensures that DS can respond quickly to a consistent change in the evidence that it fuses. Only realistic data is fused, where realism is discussed in terms of data certainty and data accuracy, thereby avoiding Zadeh’s paradox. Performance measures of Thresholded-DS are provided for various thresholds in terms of sensor data certainty and fusion accuracy to help designers assess beforehand, by varying the threshold appropriately, the achievable performance in terms of the estimated certainty, and accuracy of the data that must be fused. The performance measures are twofold, first in terms of stability when fused data are consistent, and second in terms of the latency in the response time when an abrupt change occurs in the data to be fused. These two performance measures must be traded off against each other, which is the reason why the performance curves will be very helpful for designers of multi-source information fusion systems using Thresholded-DS.