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Autor(en): 
  • Laeeque K. Daneshmend
  • Jiming Liu
  • Spatial Reasoning and Planning: Geometry, Mechanism, and Motion 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2012  
    Genre:  EDV / Informatik 
     
    Application software / Applied mathematics / Artificial Intelligence / Automatic control engineering / B / Computer and Information Systems Applications / Computer Applications / Computer Imaging, Vision, Pattern Recognition and Graphics / computer science / Computer Vision / Control engineering / Control, Robotics, Automation / Control, Robotics, Mechatronics / Electronic devices & materials / Engineering mathematics / Information technology# general issues / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Maths for engineers / Mechatronics / Optical data processing / Robotics
    ISBN:  9783642623370 
    EAN-Code: 
    9783642623370 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Advanced Information Processing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  308 gr 
    Seiten:  180 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Spatial reasoning and planning is a core constituent in robotics, graphics, computer-aided design, and geographic information systems. After a review of previous work in the related areas, Liu and Daneshmend present here a unified framework for qualitative spatial representation and reasoning, which enables the generation of solutions to spatial problems where the geometric knowledge is imprecise. The approach utilizes qualitative spatial representation and reasoning integrated with a quantitative search procedure based on simulated annealing. Many graphical illustrations and detailed algorithm descriptions help the readers to comprehend the solution paths and to develop their own applications. The book is written as a self-contained text for researchers and graduate students in computer science and related engineering disciplines. The methodologies, algorithmic details, and case studies presented can be used as course material as well as a convenient reference.

      
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