Title of article :
Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems
Author/Authors :
Gao, Hongbo State Key Laboratory of Software Development Environment - Beihang University, China , Zhang, Xinyu Information Technology Center - Tsinghua University, China , Liu, Yuchao The Institute of Electronic System Engineering, China , Li, Deyi State Key Laboratory of Software Development Environment - Beihang University, China
Pages :
13
From page :
1
To page :
13
Abstract :
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.
Keywords :
Intelligent Vehicle Systems , Cloud Model Approach , Lateral Control
Journal title :
Scientific Programming
Serial Year :
2016
Full Text URL :
Record number :
2606919
Link To Document :
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