A COIN-inspired synthetic dataset for qualitative evaluation of hard and soft fusion systems

Jacob L. Graham, Jeffrey Rimland, David L. Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

Traditional data fusion systems focus on processing of physical ("hard") sensor data to achieve an understanding of an observed environment. The rapid dissemination of mobile phones allows humans to act both as a sensor platform and as an observer (a "soft" sensor). Currently, the methods for fusing hard and soft data are still at their infancy. Regardless of the specific techniques utilized to fuse hard and soft data, a key challenge involves how to obtain a calibrated data set involving both hard and soft data. This paper describes a new data set being developed at the Pennsylvania State University aimed at addressing this challenge. The data set is inspired by a Counter Insurgency (COIN) scenario in Bagdad. The data currently includes nearly 600 messages ("soft" data). The construction of synthetic complimentary hard data (e.g., simulated physical sensor data) is currently underway. The COIN scenario covers a four month period: 1 January 2010 - May 2010, centered in Baghdad, Iraq.

Original languageEnglish (US)
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
StatePublished - 2011
Event14th International Conference on Information Fusion, Fusion 2011 - Chicago, IL, United States
Duration: Jul 5 2011Jul 8 2011

Other

Other14th International Conference on Information Fusion, Fusion 2011
CountryUnited States
CityChicago, IL
Period7/5/117/8/11

All Science Journal Classification (ASJC) codes

  • Information Systems

Fingerprint Dive into the research topics of 'A COIN-inspired synthetic dataset for qualitative evaluation of hard and soft fusion systems'. Together they form a unique fingerprint.

Cite this