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Fusing sensor data with publicly available information (PAI) for autonomy applications
Author(s): Lei Qian; Vadas Gintautas
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Paper Abstract

Publicly available information (PAI) provides data for reasoning about an environment when direct sensing is constrained, and augments scarce direct measurements. Specifically, PAI sources providing movement information over time support analysis of behavior patterns. In this paper we describe sources and uses of PAI, discuss a tool for automated data analysis with emphasis on detection of anomalous behavior, discuss challenges present in exploiting PAI, and explore how anomalous activity in social media PAI is correlated with anomalous traffic observed using movement PAI.

Paper Details

Date Published: 13 May 2019
PDF: 11 pages
Proc. SPIE 10992, Geospatial Informatics IX, 109920M (13 May 2019); doi: 10.1117/12.2518933
Show Author Affiliations
Lei Qian, Air Force Research Lab. (United States)
Vadas Gintautas, BAE Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 10992:
Geospatial Informatics IX
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman, Editor(s)

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