Real-Time Object Processing and Routing for Intelligent Drones: A Novel Approach.

We propose a real-time object-processing and smart-routing system using an unmanned aerial vehicle-mounted camera and an object-recognition algorithm to determine the image coordinates of object locations to calculate the shortest route between coordinates. This approach can reduce travel time and c...

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Publicado en:Computer (00189162) Vol. 53; no. 12; pp. 80 - 90
Autores principales: Sarkar, Sayani, Totaro, Michael W., Kumar, Ashok, Elgazzar, Khalid
Formato: Artículo
Publicado: IEEE Dec2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2020
      vid: 53
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        10.1109/MC.2020.2981908
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        atl: Real-Time Object Processing and Routing for Intelligent Drones: A Novel Approach.
      aug:
        au:
          Sarkar, Sayani
          Totaro, Michael W.
          Kumar, Ashok
          Elgazzar, Khalid
        affil:
          University of Louisiana, Lafayette, Louisiana United States
          Engineering and Applied Sciences, University of Ontario, Ontario, Canada
      su:
        Algorithms
        Travel costs
        Automobile dynamics
        Heuristic algorithms
        Object recognition (Computer vision)
      sug:
        subj:
          Algorithms
          Travel costs
          Automobile dynamics
          Heuristic algorithms
          Object recognition (Computer vision)
      keyword:
        Drones
        Intelligent systems
        Object detection
        Real-time systems
        Vehicle dynamics
      ab: We propose a real-time object-processing and smart-routing system using an unmanned aerial vehicle-mounted camera and an object-recognition algorithm to determine the image coordinates of object locations to calculate the shortest route between coordinates. This approach can reduce travel time and cost compared to conventional approaches.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 2020
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