Abstract
    Overtaking is one of the most dangerous operations in driving. The rear-view mirror is sometimes not consulted by the driver or is momentarily useless because of the blind spot. This paper describes a simple FPGA system based on motion detectors of the fly and rigid-body detection that is able to efficiently segment overtaking cars using a sparse map of features from the visual field of the rear-view mirror. FPGA implementation allows real-time image processing on an embedded system.
    
    
    
    
    
    
    
    
      
      
        
          Publication
          14th International Conference on Field Programmable Logic and Application
         
       
      
     
    
    
    
    
    
  
  
    
  
    
  
  
  
  
  
  
    
      
      
    
    
      
      Full Professor
      Full professor in computer architecture, principal investigator at the Computational Neuroscience and Neurorobotics Lab and principal investigator of the VALERIA lab of the University of Granada.
      
     
   
  
    
  
    
  
    
  
    
  
  
  
  
  
  
    
      
      
    
    
      
      Assistant Professor
      Associate Professor at the Department of Computer Engineering, Automation and Robotics and Principal Investigator at the Applied Computational Neuroscience Group.