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Autor(en): 
  • Antonios Tsourdos
  • Cooperative Path Planning of Unmanned Aerial Vehicles 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2011  
    Genre:  Naturwissensch., Medizin, Technik 
    ISBN:  9781600867798 
    EAN-Code: 
    9781600867798 
    Verlag:  Aiaa 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 155 mm / D 15 mm 
    Gewicht:  454 gr 
    Seiten:  190 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    An invaluable addition to the literature on UAV guidance and cooperative control, Cooperative Path Planning of Unmanned Aerial Vehicles is a dedicated, practical guide to computational path planning for UAVs. One of the key issues facing future development of UAVs is path planning: it is vital that swarm UAVs/ MAVs can cooperate together in a coordinated manner, obeying a pre-planned course but able to react to their environment by communicating and cooperating. An optimized path is necessary in order to ensure a UAV completes its mission efficiently, safely, and successfully.

    Focussing on the path planning of multiple UAVs for simultaneous arrival on target, Cooperative Path Planning of Unmanned Aerial Vehicles also offers coverage of path planners that are applicable to land, sea, or space-borne vehicles.

    Cooperative Path Planning of Unmanned Aerial Vehicles is authored by leading researchers from Cranfield University and provides an authoritative resource for researchers, academics and engineers working in the area of cooperative systems, cooperative control and optimization particularly in the aerospace industry.Include chapters on path planning, 3-D path planning, cooperative path planning, path planning in complex environments as well as guidance for accurate path following and sense and avoid algorithms to deal with collision avoidanceApproaches the solution to UAV path planning via two phases: producing paths to meet curvature constraints - the flyable paths, and then tuning the flyable paths to meet the mission demandsDescribes flyable path approaches using composite curves using Dubins and Clothoid principles, and continuous curves using Pythagorean Hodograph principles; and extends these approaches to cater for the complex problem of obstacle avoidance.?

      



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