• DocumentCode
    549035
  • Title

    Hard sensor fusion for COIN inspired situation awareness

  • Author

    Baran, Matthew S. ; Natale, Donald J. ; Tutwiler, Richard L. ; Griffin, Christopher ; Daughtry, John M. ; McQuillan, Matthew M. ; Rimland, Jeffrey ; Hall, David L.

  • Author_Institution
    Commun. & Imaging Div., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Counter Insurgency operations require the ability to develop accurate representations of the physical environment and the human landscape in various conditions (e.g., urban and non-urban, day and night, and various weather conditions). We are developing innovative sensor suites and processing techniques suitable for such domains as part of a larger effort to support human-centric hard/soft data fusion. In this paper, we present a sensor suite, an information processing architecture, examples of the resulting fused information, and future experimental designs. These combined resources present opportunities for creating rich 3-D characterizations of the environment and can support novel hybrid human/computer methods for target characterization, identification, and tracking.
  • Keywords
    sensor fusion; target tracking; 3D characterizations; COIN inspired situation awareness; accurate representations; counter insurgency operations; fused information; hard sensor fusion; human landscape; hybrid human/computer methods; information processing; innovative sensor suites; physical environment; soft data fusion; target characterization; target identification; target tracking; Algorithm design and analysis; Humans; Image color analysis; Laser radar; Pixel; Sensor fusion; 3D; LIDAR; MWIR; SWIR; counter insurgency; hard data; sensor fusion; synthetic data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977470