TY - GEN
T1 - JDL Level 0 and 1 algorithms for processing and fusion of hard sensor data
AU - Rimland, Jeffrey C.
AU - Iyer, Ganesh M.
AU - Agumamidi, Rachana R.
AU - Pisupati, Soumya V.
AU - Graham, Jake
PY - 2011
Y1 - 2011
N2 - A current trend in information fusion involves distributed methods of combining both conventional "hard" sensor data and human-based "soft" information in a manner that exploits the most useful and accurate capabilities of each modality. In addition, new and evolving technologies such as Flash LIDAR have greatly enhanced the ability of a single device to rapidly sense attributes of a scene in ways that were not previously possible. At the Pennsylvania State University we are participating in a multi-disciplinary university research initiative (MURI) program funded by the U.S. Army Research Office to investigate issues related to fusing hard and soft data in counterinsurgency (COIN) situations. We are developing level 0 and level 1 methods (using the Joint Directors of Laboratories (JDL) data fusion process model) for fusion of physical ("hard") sensor data. Techniques include methods for data alignment, tracking, recognition, and identification for a sensor suite that includes LIDAR, multi-camera systems, and acoustic sensors. The goal is to develop methods that dovetail on-going research in soft sensor processing. This paper describes various hard sensor processing algorithms and their evolving roles and implementations within a distributed hard and soft information fusion system.
AB - A current trend in information fusion involves distributed methods of combining both conventional "hard" sensor data and human-based "soft" information in a manner that exploits the most useful and accurate capabilities of each modality. In addition, new and evolving technologies such as Flash LIDAR have greatly enhanced the ability of a single device to rapidly sense attributes of a scene in ways that were not previously possible. At the Pennsylvania State University we are participating in a multi-disciplinary university research initiative (MURI) program funded by the U.S. Army Research Office to investigate issues related to fusing hard and soft data in counterinsurgency (COIN) situations. We are developing level 0 and level 1 methods (using the Joint Directors of Laboratories (JDL) data fusion process model) for fusion of physical ("hard") sensor data. Techniques include methods for data alignment, tracking, recognition, and identification for a sensor suite that includes LIDAR, multi-camera systems, and acoustic sensors. The goal is to develop methods that dovetail on-going research in soft sensor processing. This paper describes various hard sensor processing algorithms and their evolving roles and implementations within a distributed hard and soft information fusion system.
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U2 - 10.1117/12.884072
DO - 10.1117/12.884072
M3 - Conference contribution
AN - SCOPUS:79959403502
SN - 9780819486363
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Defense Transformation and Net-Centric Systems 2011
T2 - Defense Transformation and Net-Centric Systems 2011
Y2 - 27 April 2011 through 28 April 2011
ER -