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Scientific Programming
Volume 2016 (2016), Article ID 6842891, 12 pages
Research Article

Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems

1State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
2State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100083, China
3Information Technology Center, Tsinghua University, Beijing 100083, China
4The Institute of Electronic System Engineering, Beijing 100039, China

Received 6 June 2016; Revised 9 September 2016; Accepted 28 September 2016

Academic Editor: Xiong Luo

Copyright © 2016 Hongbo Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.