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Vehicle recognition and tracking based on simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm

王伟峰 YANG Bo LIU Hanfei QIN Xuebin

高技术通讯：英文版2023，Vol.29Issue(2)：P.113-121,9.

高技术通讯：英文版2023，Vol.29Issue(2)：P.113-121,9.DOI:10.3772/j.issn.1006-6748.2023.02.001

Vehicle recognition and tracking based on simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm

王伟峰 ¹YANG Bo ¹LIU Hanfei ¹QIN Xuebin²

作者信息

1. School of Safety Science and Engineering,Xi’an University of Science and Technology,Xi’an 710054,P.R.China
2. School of Electrical and Control Engineering,Xi’an University of Science and Technology,Xi’an 710054,P.R.China
折叠

摘要

关键词

vehicle recognition/target tracking/annealing chaotic particle swarm/Gauss particle filter(GPF)algorithm

分类

交通工程

引用本文复制引用

王伟峰,YANG Bo,LIU Hanfei,QIN Xuebin..Vehicle recognition and tracking based on simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm[J].高技术通讯：英文版,2023,29(2):P.113-121,9.

基金项目

Supported by the National Key R&D Plan of China (2021YFE0105000) （2021YFE0105000）

the National Natural Science Foundation of China (52074213) （52074213）

Shaanxi Key R&D Plan Project (2021SF-472) （2021SF-472）

Yulin Science and Technology Plan Project (CXY-2020-036)。（CXY-2020-036）

高技术通讯：英文版

OAEI

ISSN：1006-6748

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