Issue No. 12 - December (2017 vol. 50)
Shaoshan Liu , PerceptIn
Jie Tang , South China University of Technology
Chao Wang , Baidu
Quan Wang , Baidu
Jean-Luc Gaudiot , University of California, Irvine
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.
automobiles, cloud computing, control engineering computing
S. Liu, J. Tang, C. Wang, Q. Wang and J. Gaudiot, "A Unified Cloud Platform for Autonomous Driving," in Computer, vol. 50, no. 12, pp. 42-49, 2018.