A Unified Cloud Platform for Autonomous Driving

被引：33
|
作者：
Liu, Shaoshan [1 ]
Tang, Jie [2 ]
Wang, Chao
Wang, Quan [3 ]
Gaudiot, Jean-Luc [4 ]
机构：
[1] PerceptIn, Sunnyvale, CA 94085 USA
[2] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China
[3] Baidu, Autonomous Driving Unit, Beijing, Peoples R China
[4] Univ Calif Irvine, Dept Elect Engn & Comp Sci, Irvine, CA USA
来源：
COMPUTER | 2017年 / 50卷 / 12期
基金：
美国国家科学基金会;
关键词：
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;
D O I：
10.1109/MC.2017.4451224
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：42 / 49
页数：8
相关论文
共 50 条
  • [21] Robotic platform for autonomous driving competition using ros
    Torres, Pedro M. B.
    Gonçalves, Paulo J. S.
    Romanian Review Precision Mechanics, Optics and Mechatronics, 2014, (45): : 114 - 119
  • [22] Application of Reinforcement Learning in the Autonomous Driving Platform of the DeepRacer
    Zhu, Wenjie
    Du, Haikuo
    Zhu, Moyan
    Liu, Yanbo
    Lin, Chaoting
    Wang, Shaobo
    Sun, Weiqi
    Yan, Huaming
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 5345 - 5352
  • [23] Efficient Computing Platform Design for Autonomous Driving Systems
    Liang, Shuang
    Ning, Xuefei
    Yu, Jincheng
    Guo, Kaiyuan
    Lu, Tianyi
    Tang, Changcheng
    Zeng, Shulin
    Wang, Yu
    Yang, Diange
    Yang, Huazhong
    2021 26TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), 2021, : 734 - 741
  • [24] Developing Autonomous Driving Solutions with a Universal Test Platform
    Johanning, Bernd
    ATZheavy Duty Worldwide, 2020, 13 (04) : 24 - 29
  • [25] Simulation Environment Configuration of Autonomous Driving Software Platform Using Driving Simulator
    Choi, Hoseung
    Yu, Dongyeon
    Hwang, Sung-Ho
    2020 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD), 2020, : 190 - 193
  • [26] Cloud-Controlled Autonomous Mobile Robot Platform
    Balogh, Marcell
    Vidacs, Attila
    Feher, Gabor
    Maliosz, Markosz
    Horvath, Marton Aron
    Reider, Norbert
    Racz, Sandor
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [27] TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
    Wen, Zihao
    Zhang, Yifan
    Chen, Xinhong
    Wang, Jianping
    2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA, 2023, : 1565 - 1571
  • [28] Self-Supervised Point Cloud Prediction for Autonomous Driving
    Du, Ronghua
    Feng, Rongying
    Gao, Kai
    Zhang, Jinlai
    Liu, Linhong
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (11) : 17452 - 17467
  • [29] Visual Point Cloud Forecasting enables Scalable Autonomous Driving
    Yang, Zetong
    Chen, Li
    Sun, Yanan
    Li, Hongyang
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 14673 - 14684
  • [30] Toward a Unified Elastic Computing Platform for Smartphones with Cloud Support
    Zhang, Weiwen
    Wen, Yonggang
    Wu, Jun
    Li, Hui
    IEEE NETWORK, 2013, 27 (05): : 34 - 40
12345