A Unified Cloud Platform for Autonomous Driving.

Tailoring cloud support for each autonomous-driving application would require maintaining multiple infrastructures, potentially resulting in low resource utilization, low performance, and high management overhead. To address this problem, the authors present a unified cloud infrastructure with Spark...

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Publicado en:Computer (00189162) Vol. 50; no. 12; pp. 42 - 50
Autores principales: Liu, Shaoshan, Tang, Jie, Wang, Chao, Wang, Quan, Gaudiot, Jean-Luc
Formato: Artículo
Publicado: IEEE Dec2017
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A Unified Cloud Platform for Autonomous Driving.
      aug:
        au:
          Liu, Shaoshan
          Tang, Jie
          Wang, Chao
          Wang, Quan
          Gaudiot, Jean-Luc
        affil:
          PerceptIn
          South China University of Technology
          Baidu
          University of California, Irvine
      su:
        Driverless cars
        Cloud computing
        Computing platforms
        SPARK (Computer program language)
        Alluxio (Company)
        Distributed computing
        Heterogeneous computing
        Energy consumption
      sug:
        subj:
          Driverless cars
          Cloud computing
          Computing platforms
          SPARK (Computer program language)
          Alluxio (Company)
          Distributed computing
          Heterogeneous computing
          Energy consumption
      keyword:
        Alluxio
        autonomous vehicles
        Baidu
        BinPipeRDD
        CNN
        convolution neural network
        distributed computing
        distributed storage
        Hadoop
        Hadoop Distributed File System
        HDFS
        heterogeneous computing
        LiDAR
        Linux Containers
        LXC
        map generation
        MapReduce
        model training
        OpenCL
        Paddle
        Parallel Distributed Deep Learning
        RDD
        resilient distributed dataset
        Robot Operating System
        ROS
        self-driving cars
        simulation testing
        Spark
        YARN
      ab: Tailoring cloud support for each autonomous-driving application would require maintaining multiple infrastructures, potentially resulting in low resource utilization, low performance, and high management overhead. To address this problem, the authors present a unified cloud infrastructure with Spark for distributed computing, Alluxio for distributed storage, and OpenCL to exploit heterogeneous computing resources for enhanced performance and energy efficiency.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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