VisLab at the Grand Challenge.

The article provides information about TerraMax, an autonomous vehicle developed by Vision and Intelligent System Lab of the University of Parma, Italy, Oshkosh Truck Corp. and Rockwell Collins Inc. in the U.S. TerraMax was part of the 2005 Defense Advanced Research Projects Agency (DAPRA) Grand Cha...

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Publicado en:Computer (00189162) Vol. 39; no. 12; pp. 36 - 38
Autores principales: Caraffi, Claudio, Cattani, Stefano
Formato: Artículo
Publicado: IEEE Dec2006
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: VisLab at the Grand Challenge.
      aug:
        au:
          Caraffi, Claudio
          Cattani, Stefano
        affil: VisLab, Università degli Studi di Parma
      su:
        Remotely piloted vehicles
        Università di Parma
        Oshkosh Corp.
        Rockwell Collins Inc.
        Computer input-output equipment
        Computer vision
        Detectors
        Scanning systems
        United States. Defense Advanced Research Projects Agency
        Computer software
        United States
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        subj:
          United States
          Remotely piloted vehicles
          Università di Parma
          Oshkosh Corp.
          Rockwell Collins Inc.
          Computer input-output equipment
          Computer vision
          Detectors
          Scanning systems
          United States. Defense Advanced Research Projects Agency
          Computer software
      ab: The article provides information about TerraMax, an autonomous vehicle developed by Vision and Intelligent System Lab of the University of Parma, Italy, Oshkosh Truck Corp. and Rockwell Collins Inc. in the U.S. TerraMax was part of the 2005 Defense Advanced Research Projects Agency (DAPRA) Grand Challenge. It was based on Oshkosh's Medium Tactical Vehicle Replacement defense truck platform. It uses artificial vision, laser scanners, generalized processor sharing, inertial sensors, and map databases. The 3 camera system of TerraMax allows precision and efficient computation of viewing distances which relies on a 2-step approach for full 3-dimension stereo reconstruction.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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