23 May 2011 Sensor and information fusion for enhanced detection, classification, and localization
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Abstract
The U.S. Army Research Laboratory (ARL) has recently concluded a research experiment to study the benefits of multimodal sensor fusion for improved hostile-fire-defeat (HFD) in an urban setting. This joint effort was led by ARL in partnership with other R&D centers and private industry. The primary goals were to detect hostile fire events (small arms, mortars, rockets, IEDs) and hostile human activities by providing solutions before, during, and after the events to improve sensor networking technologies; to develop multimodal sensor data fusion; and to determine effective dissemination techniques for the resultant actionable intelligence. Technologies included ultraviolet, infrared, retroreflection, visible, glint, Laser Detection and Ranging (LADAR), radar, acoustic, seismic, E-field, magnetic, and narrowband emission technologies; all were found to provide useful performance. The experiment demonstrated that combing data and information from diverse sensor modalities can significantly improve the accuracy of threat detections and the effectiveness of the threat response. It also demonstrated that dispersing sensors over a wide range of platforms (fixed site, ground vehicles, unmanned ground and aerial vehicles, aerostat, Soldier-worn) added flexibility and agility in tracking hostile actions. In all, the experiment demonstrated that multimodal fusion will improve hostile event responses, strike force efficiency, and force protection effectiveness.
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Michael V. Scanlon, William D. Ludwig, "Sensor and information fusion for enhanced detection, classification, and localization", Proc. SPIE 8047, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II, 80470Z (23 May 2011); doi: 10.1117/12.892632; https://doi.org/10.1117/12.892632
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