首页 /研究 /Data Fusion Algorithms for Collaborative Robotic Exploration
OTHER

Data Fusion Algorithms for Collaborative Robotic Exploration

Jeremy Thorpe, Robert J. McEliece

发表年份
2002
引用次数
13

摘要

In this article, we will study the problem of efficient data fusion in an ad hoc network of mobile sensors (“robots”) using belief propagation (BP) on a graphical model similar to those used in turbo-style decoding. We also devise a new metric for evaluating the performance of general inference algorithms, including BP, that return “soft ” estimates. I.

关键词

Computer scienceMetric (unit)Sensor fusionInferenceBelief propagationArtificial intelligenceAlgorithmMachine learningGraphical modelDecoding methods

相关论文

查看 OTHER 分类全部论文