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      Abstract
      This thesis work presents a preliminary design of a detection and avoidance system for an Unmanned Aerial Vehicle (UAV).
The code realized is capable to sense cooperative aircraft surrounding the UAV and to avoid them in a complete autonomous way.
The detection of the aircraft is made by the elaboration of the information that they share in the medium.
On the other hand, the generation of the trajectories to avoid the collisions is treated using a geometrical approach and dealing with different scenarios: no-moving obstacle, moving obstacle, multiple obstacles and terrain collision avoidance.
With the so called point mass model, the controls to obtain the generated trajectory are found accordantly with the main literature.
The proposed solution can be used for almost any kind of UAV that shall operate in civil air space.
     
    
      Abstract
      This thesis work presents a preliminary design of a detection and avoidance system for an Unmanned Aerial Vehicle (UAV).
The code realized is capable to sense cooperative aircraft surrounding the UAV and to avoid them in a complete autonomous way.
The detection of the aircraft is made by the elaboration of the information that they share in the medium.
On the other hand, the generation of the trajectories to avoid the collisions is treated using a geometrical approach and dealing with different scenarios: no-moving obstacle, moving obstacle, multiple obstacles and terrain collision avoidance.
With the so called point mass model, the controls to obtain the generated trajectory are found accordantly with the main literature.
The proposed solution can be used for almost any kind of UAV that shall operate in civil air space.
     
  
  
    
    
      Tipologia del documento
      Tesi di laurea
(Laurea magistrale)
      
      
      
      
        
      
        
          Autore della tesi
          Cosentino, Andrea
          
        
      
        
          Relatore della tesi
          
          
        
      
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          UAV, trajectories, detection, avoidance, real time
          
        
      
        
          Data di discussione della Tesi
          21 Marzo 2019
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di laurea
(NON SPECIFICATO)
      
      
      
      
        
      
        
          Autore della tesi
          Cosentino, Andrea
          
        
      
        
          Relatore della tesi
          
          
        
      
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          UAV, trajectories, detection, avoidance, real time
          
        
      
        
          Data di discussione della Tesi
          21 Marzo 2019
          
        
      
      URI
      
      
     
   
  
  
  
  
  
  
    
      Gestione del documento: 
      
        