An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS International Journal of General Systems Pub Date : 2024-01-31 DOI:10.1080/03081079.2024.2302591
Xiaoyu Xian, Dan Liu, Daxin Tian, Yin Tian, Wei Jiang, Yukai Shi, Liang Lin
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引用次数: 0

Abstract

To solve the high costs of the existing transponder/odometer-based wayside subway train localization method and the discontinuity of the GNSS-based subway train localization method in blocked GNSS ...
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使用基于视觉的公里标记识别辅助多传感器融合方法的先进地铁列车定位系统
为了解决现有的基于应答器/测距仪的路旁地铁列车定位方法成本高,以及基于全球导航卫星系统的地铁列车定位方法在阻塞的全球导航卫星系统中的不连续性问题 ...
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来源期刊
International Journal of General Systems
International Journal of General Systems 工程技术-计算机:理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍: International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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