Research on digital quadruplets in cyber-physical-social space-based parallel driving

Teng LIU; Xiao WANG; Yang XING; Yu GAO; Bin TIAN; Long CHEN

doi:10.11959/j.issn.2096-6652.201902

您当前的位置：

首页 >

文章列表页 >

Research on digital quadruplets in cyber-physical-social space-based parallel driving

Papers | 更新时间：2024-06-05

- Research on digital quadruplets in cyber-physical-social space-based parallel driving
- Chinese Journal of Intelligent Science and Technology Vol. 1, Issue 1, Pages: 40-51(2019)
- 作者机构：
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61533019)
- DOI：10.11959/j.issn.2096-6652.201902
  CLC： U469.79
- Published Online：2019-03，
  
  Published：20 March 2019
- 稿件说明：
移动端阅览
Teng LIU, Xiao WANG, Yang XING, et al. Research on digital quadruplets in cyber-physical-social space-based parallel driving[J]. Chinese journal of intelligent science and technology, 2019, 1(1): 40-51.
DOI：

Teng LIU, Xiao WANG, Yang XING, et al. Research on digital quadruplets in cyber-physical-social space-based parallel driving[J]. Chinese journal of intelligent science and technology, 2019, 1(1): 40-51. DOI： 10.11959/j.issn.2096-6652.201902.

摘要

平行驾驶是一种兼具运营管理、在线状态监测、应急驾驶安全接管等功能的先进云端化网联自动驾驶集成解决方案。着重介绍平行驾驶的数字四胞胎系统，即物理车、描述车、预测车和引导车的集成系统。首先，给出平行驾驶与数字四胞胎的具体定义与框架；随后，介绍描述车、预测车和引导车的具体含义和内涵；最后，讨论数字四胞胎系统在矿山、物流等场景中的应用实例。

Abstract

Parallel driving is an advanced

cloudy and unified approach for connected automated driving that includes operation management

online condition monitoring and emergency take-over.The digital quadruplets in parallel driving

which include physical vehicle

descriptive vehicle

predictive vehicle and prescriptive vehicle were defined.First

the content and framework of the parallel driving and digital quadruplets were introduced.Then

the details of the descriptive

predictive and prescriptive vehicles were given.Finally

the applications of the digital quadruplets in mining and logistics scenarios were discussed.

关键词

Keywords

references

WANG F Y , ZHENG N N , CAO D P , et al . Parallel driving in CPSS:a unied approach for transport automation and vehicle intelligence [J ] . IEEE/CAA Journal of Automatica Sinica , 2017 , 4 ( 4 ): 577 - 587 .

王飞跃 . 平行系统方法与复杂系统的管理和控制 [J ] . 控制与决策 , 2004 , 19 ( 5 ): 485 - 489 .

WANG F Y . Parallel system methods for management and control of complex systems [J ] . Control and Decision , 2004 , 19 ( 5 ): 485 - 489 .

MARIUSZ B , DAVIDE D T , DANIEL D , et al . End to end learning for self-driving cars [J ] . arXiv preprint arXiv:1604.07316 , 2016

LV C , XING Y , LU C , et al . Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 7 ).

JAIN A , KOPPULA H S , RAGHAVAN B , et al . Car that knows before you do:anticipating maneuvers via learning temporal driving model [C ] // Proceedings of the IEEE International Conference on Computer Vision , 2015 .

李力 , 林懿伦 , 曹东璞 , 等 . 平行学习—机器学习的一个新型理论框架 [J ] . 自动化学报 , 2017 , 43 ( 1 ): 1 - 8 .

LI L , LIN ▪ L , CAO D P , et al . Parallel learning:a new theoretical framework for machine learning [J ] . Acta Automatica Sinica , 2017 , 43 ( 1 ): 1 - 8 .

陈晓晶 , 何敏 . 智慧矿山建设架构体系及其关键技术 [J ] . 煤炭科学技术 , 2018 , 46 ( 2 ).

CHEN X J , HE M . Smart mine construction architecture system and its key technologies [J ] . Coal Science and Technology , 2018 , 46 ( 2 ).

左敏 . 平行系统理论在现代矿山管理中的应用 [J ] . 金属矿山 , 2011 , 40 ( 9 ): 131 - 133 .

ZUO M . The application of parallel system theory in modern mine management [J ] . Metal Mine , 2011 , 40 ( 9 ): 131 - 133 .

苏子孟 . 工程机械无人驾驶时代或将来临小松开发自动化技术 [R ] . 2015 .

SU Z M . Construction machinery unmanned era is coming [R ] . 2015 .

WANG K F , GOU C , ZHENG N N , et al . Parallel vision for perception and understanding of complex scenes:methods,framework,and perspectives [J ] . Articial Intelligence Review , 2017 , 48 ( 1 ): 1 - 31 .

Views

270

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

Postal code：100079
Tel：（010）53879206 Email：cjist@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：35641 Visits Today：116

⁰