Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems
Joint Authors
Gao, Hongbo
Zhang, Xinyu
Liu, Yuchao
Li, Deyi
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Studies on intelligent vehicles, among which the controlling method of intelligent vehicles is a key technique, have drawn the attention of industry and the academe.
This study focuses on designing an intelligent lateral control algorithm for vehicles at various speeds, formulating a strategy, introducing the Gauss cloud model and the cloud reasoning algorithm, and proposing a cloud control algorithm for calculating intelligent vehicle lateral offsets.
A real vehicle test is applied to explain the implementation of the algorithm.
Empirical results show that if the Gauss cloud model and the cloud reasoning algorithm are applied to calculate the lateral control offset and the vehicles drive at different speeds within a direction control area of ±7°, a stable control effect is achieved.
American Psychological Association (APA)
Gao, Hongbo& Zhang, Xinyu& Liu, Yuchao& Li, Deyi. 2016. Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems. Scientific Programming،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1118334
Modern Language Association (MLA)
Gao, Hongbo…[et al.]. Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems. Scientific Programming No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1118334
American Medical Association (AMA)
Gao, Hongbo& Zhang, Xinyu& Liu, Yuchao& Li, Deyi. Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1118334
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118334