Fusing sensor data with publicly available information (PAI) for autonomy applications
Lei Qian, Vadas Gintautas · 2019
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.