基于虚拟现实技术的典型动态交通场景设计与实现

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI:10.3233/JIFS-189914

Zhan-jun Si, Xinhui Xie, Donghan Zhang

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引用次数: 2

摘要

利用车辆驾驶模拟器模拟危险交通环境对减少和预防道路交通事故具有重要意义。首先利用遗传算法获得并设计了典型的动态交通场景，然后提出了一种基于计算机虚拟现实场景的混沌算法。最后，以城市道路场景中的动态场景为例，利用虚拟现实技术对其进行了仿真设计和实现。结果表明，将虚拟现实技术与动态交通场景相结合，可以有效构建驾驶员微交通仿真的虚拟操作环境。

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Design and implementation of typical dynamic traffic scenes based on virtual reality technology

It is of great significance to simulate dangerous traffic environment with vehicle driving simulator for reducing and preventing road traffic accidents. Firstly, a typical dynamic traffic scene was obtained and designed by using genetic algorithm, then a chaotic algorithm based on computer virtual reality scene was proposed. Finally, a dynamic scene in urban road scene was taken as an example, of which the simulation was designed and implemented by using virtual reality technology. The results show that the virtual operating environment of driver micro-traffic simulation can be effectively constructed with the combination of virtual reality technology and dynamic traffic scene.

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.