文献类型：期刊文献

英文题名：Lateral control of autonomous vehicles based on learning driver behavior via cloud model

作者：Hongbo, Gao[1,2]; Guotao, Xie[1]; Hongzhe, Liu[2]; Xinyu, Zhang[3]; Deyi, Li[1,4]

第一作者：Hongbo, Gao

通讯作者：Xinyu, Zhang

机构：[1] State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, 100084, China; [2] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China; [3] Information Technology Center, Tsinghua University, Beijing, 100084, China; [4] The 61th Institute of Electronic System Engineering, Beijing, 100039, China

第一机构：State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, 100084, China

年份：2017

卷号：24

期号：2

起止页码：10-17

外文期刊名：Journal of China Universities of Posts and Telecommunications

收录：EI(收录号：20172903960398)

语种：英文

外文关键词：Classification (of information) - Cloud computing - Controllers - Decision theory - Entropy - Intelligent vehicle highway systems - MATLAB

摘要：In order to achieve the lateral control of the intelligent vehicle, use the bi-cognitive model based on cloud model and cloud reasoning, solve the decision problem of the qualitative and quantitative of the lateral control of the intelligent vehicle. Obtaining a number of experiment data by driving a vehicle, classify the data according to the concept of data and fix the input and output variables of the cloud controller, design the control rules of the cloud controller of intelligent vehicle, and clouded and fix the parameter of cloud controller: expectation, entropy and hyper entropy. In order to verify the effectiveness of the cloud controller, joint simulation platform based on Matlab/Simulink/CarSim is established. Experimental analysis shows that: driver's lateral controller based on cloud model is able to achieve tracking of the desired angle, and achieve good control effect, it also verifies that a series of mental activities such as feeling, cognition, calculation, decision and so on are fuzzy and uncertain. ? 2017 The Journal of China Universities of Posts and Telecommunications