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Herausgeber: 
  • Dimiter Driankov
  • Alessandro Saffiotti
  • Fuzzy Logic Techniques for Autonomous Vehicle Navigation 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / Automatic control engineering / C / Control engineering / Control, Robotics, Automation / Control, Robotics, Mechatronics / Electronic devices & materials / engineering / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Industrial Management / Management of specific areas / Mechatronics / Robotics
    ISBN:  9783790824797 
    EAN-Code: 
    9783790824797 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #61 - Studies in Fuzziness and Soft Computing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  617 gr 
    Seiten:  393 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new­ comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "yet another random collection of papers," and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: ¿ Selecting contributions which are representative of a wide range of prob­ lems and solutions and which have been validated on real robots; and ¿ Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed.

      



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