Practical considerations in Bayesian fusion of point sensors

Kevin Johnson; Christian Minor

doi:10.1117/12.920817

10 May 2012 Practical considerations in Bayesian fusion of point sensors

Kevin Johnson, Christian Minor

Proceedings Volume 8407, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012; 84070X (2012) https://doi.org/10.1117/12.920817
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Sensor data fusion is and has been a topic of considerable research, but rigorous and quantitative understanding of the benefits of fusing specific types of sensor data remains elusive. Often, sensor fusion is performed on an ad hoc basis with the assumption that overall detection capabilities will improve, only to discover later, after expensive and time consuming laboratory and/or field testing that little advantage was gained. The work presented here will discuss these issues with theoretical and practical considerations in the context of fusing chemical sensors with binary outputs. Results are given for the potential performance gains one could expect with such systems, as well as the practical difficulties involved in implementing an optimal Bayesian fusion strategy with realistic scenarios. Finally, a discussion of the biases that inaccurate statistical estimates introduce into the results and their consequences is presented.

Citation Download Citation

Kevin Johnson and Christian Minor "Practical considerations in Bayesian fusion of point sensors", Proc. SPIE 8407, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 84070X (10 May 2012); https://doi.org/10.1117/12.920817

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