29 May 2013 Fusion of data from multiple sensors with model-based data analysis
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For many applications, the combination of multiple data sources is required to reach a conclusion. Limited communications and processing capabilities dictate transmitting, processing and reviewing information more likely to affect a decision before less relevant data. Autonomous craft must, thus, prioritize data for transmission, onboard. Previous work demonstrated the ability to identify and prioritize discrepancies between collected and pre-existing image, topographic and gravitational data. This paper focuses on combining single-source analysis from these datasets to produce a fusion-analysis for predicting the decision-impact value of the component data. This approach is evaluated for persistent surveillance and asteroid assessment applications.
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Jeremy Straub, "Fusion of data from multiple sensors with model-based data analysis", Proc. SPIE 8756, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013, 87560F (29 May 2013); doi: 10.1117/12.2018766; https://doi.org/10.1117/12.2018766


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