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
  • [41] A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems
    Han, Xingshuo
    Chen, Kangjie
    Zhou, Yuan
    Qiu, Meikang
    Fan, Chun
    Liu, Yang
    Zhang, Tianwei
    19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021), 2021, : 836 - 844
  • [42] Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
    Liang, Xiwen
    Niu, Minzhe
    Han, Jianhua
    Xu, Hang
    Xu, Chunjing
    Liang, Xiaodan
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 9611 - 9621
  • [43] Reliable Autonomous Driving Environment Model With Unified State-Extended Boundary
    Jiao, Xinyu
    Chen, Junjie
    Jiang, Kun
    Wang, Yunlong
    Cao, Zhong
    Yang, Mengmeng
    Yang, Diange
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (01) : 516 - 527
  • [44] Evaluation of four point cloud similarity measures for the use in autonomous driving
    Berens, Felix
    Elser, Stefan
    Reischl, Markus
    AT-AUTOMATISIERUNGSTECHNIK, 2021, 69 (06) : 499 - 510
  • [45] A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving
    Yue, Xiangyu
    Wu, Bichen
    Seshia, Sanjit A.
    Keutzer, Kurt
    Sangiovanni-Vincentelli, Alberto L.
    ICMR '18: PROCEEDINGS OF THE 2018 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, 2018, : 458 - 464
  • [46] Seamless Service Migration Framework for Autonomous Driving in Mobile Edge Cloud
    Doan, Tung V.
    Fan, Zhongyi
    Nguyen, Giang T.
    You, Dongho
    Kropp, Alexander
    Salah, Hani
    Fitzek, Frank H. P.
    2020 IEEE 17TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC 2020), 2020,
  • [47] Incident Detection over Unified Threat Management Platform on a Cloud Network
    Saad, Muhammad Muneeb
    Iqbal, Talha
    Ali, Hazrat
    Bulbul, Mohammad Farhad
    Khan, Shahid
    Tanougast, Camel
    PROCEEDINGS OF THE 2019 10TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS - TECHNOLOGY AND APPLICATIONS (IDAACS), VOL. 2, 2019, : 592 - 596
  • [48] Global-PBNet: A Novel Point Cloud Registration for Autonomous Driving
    Zheng, Yuchao
    Li, Yujie
    Yang, Shuo
    Lu, Huimin
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (11) : 22312 - 22319
  • [49] Ground-Aware Point Cloud Semantic Segmentation for Autonomous Driving
    Wu, Jian
    Jiao, Jianbo
    Yang, Qingxiong
    Zha, Zheng-Jun
    Chen, Xuejin
    PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19), 2019, : 971 - 979
  • [50] An Advanced LiDAR Point Cloud Sequence Coding Scheme for Autonomous Driving
    Sun, Xuebin
    Wang, Sukai
    Wang, Miaohui
    Cheng, Shing Shin
    Liu, Ming
    MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 2793 - 2801
12345