دانلود Sensor and Information Fusion for Enhanced Detection, Classification, and Localization

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,  retro-reflection, visible, glint, Laser Detection and Ranging (LADAR), radar, acoustic, seismic, E-field, magnetic, and narrow-band 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.