Fusing sensor data with publicly available information (PAI) for autonomy applications

摘要

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