CASIA OpenIR  > 学术期刊  > IEEE/CAA Journal of Automatica Sinica
Parallel Distance: A New Paradigm of Measurement for Parallel Driving
Teng Liu; Hong Wang; Bin Tian; Yunfeng Ai; Long Chen
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2020
卷号7期号:4页码:1169-1178
摘要In this paper, a new paradigm named parallel dis-tance is presented to measure the data information in parallel driving system. As an example, the core variables in the parallel driving system are measured and evaluated in the parallel distance framework. First, the parallel driving 3.0 system included control and management platform, intelligent vehicle platform and remote-control platform is introduced. Then, Markov chain (MC) is utilized to model the transition probability matrix of control commands in these systems. Furthermore, to distinguish the control variables in artificial and physical driving conditions, different distance calculation methods are enumerated to specify the differences between the virtual and real signals. By doing this, the real system can be guided and the virtual system can be im-proved. Finally, simulation results exhibit the merits and multiple applications of the proposed parallel distance framework.
关键词Artificial and physical system parallel distance para-llel driving 3.0 parallel system rotational and accelerator signal
DOI10.1109/JAS.2019.1911633
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/43022
专题学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Teng Liu,Hong Wang,Bin Tian,et al. Parallel Distance: A New Paradigm of Measurement for Parallel Driving[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(4):1169-1178.
APA Teng Liu,Hong Wang,Bin Tian,Yunfeng Ai,&Long Chen.(2020).Parallel Distance: A New Paradigm of Measurement for Parallel Driving.IEEE/CAA Journal of Automatica Sinica,7(4),1169-1178.
MLA Teng Liu,et al."Parallel Distance: A New Paradigm of Measurement for Parallel Driving".IEEE/CAA Journal of Automatica Sinica 7.4(2020):1169-1178.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
JAS-2018-0222.pdf(28071KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Teng Liu]的文章
[Hong Wang]的文章
[Bin Tian]的文章
百度学术
百度学术中相似的文章
[Teng Liu]的文章
[Hong Wang]的文章
[Bin Tian]的文章
必应学术
必应学术中相似的文章
[Teng Liu]的文章
[Hong Wang]的文章
[Bin Tian]的文章
相关权益政策
暂无数据
收藏/分享
文件名: JAS-2018-0222.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。