Methods of approximate agreement for multisensor fusion

Richard Ree Brooks; S. Sitharama Iyengar

doi:10.1117/12.213053

Abstract

Multisensor fusion is a method for improving sensor reliability. Because individual sensors are prone to errors and noise, it is advisable to fuse readings from many sensors. This allows several technologies to be used to measure the value of a variable. Unfortunately it is a non- trivial task to glean the best interpretation from a large number of partially contradictory sensor readings. A number of methods exist for finding the best approximate match for this type of redundant, but possibly faulty, data. This paper states the approximate matching problem and its application to multisensor fusion. Existing algorithms and recent developments are explained along with their performance and assumptions. A new algorithm is presented which unifies previous research. Appropriate applications and potential bottlenecks are discussed.

Citation Download Citation

Richard Ree Brooks, S. Sitharama Iyengar, "Methods of approximate agreement for multisensor fusion", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); doi: 10.1117/12.213053; https://doi.org/10.1117/12.213053

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