基于卷积神经网络的汽车操纵稳定性试验类型识别方法  

Vehicle Handling and Stability Test Type Recognition Method Based on Convolutional Neural Network

作　　者：管欣[1] 仲昭辉 詹军[1] 奚腾龙 叶昊 高深圳 成健 廖世辉 蔡均 Guan Xin;Zhong Zhaohui;Zhan Jun;Xi Tenglong;Ye Hao;Gao Shenzhen;Cheng Jian;Liao Shihui;Cai Jun(Jinlin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130025;Chongqing Key Laboratory of Automobile Intelligent Simulation,Chongqing 401100;Chongqing Changan Automobile Co.,Ltd.,Chongqing 401100)

机构地区：[1]吉林大学,汽车仿真与控制国家重点实验室,长春130025 [2]汽车智能仿真重庆市重点实验室,重庆401100 [3]重庆长安汽车股份有限公司,重庆401100

出　　处：《汽车工程》2023年第9期1765-1771,共7页Automotive Engineering

基　　金：国家重点研发计划项目(2018YFB1502700)资助。

摘　　要：针对汽车操纵稳定性试验评价指标自动化处理需要自动识别试验类型的需求,提出一种基于卷积神经网络的汽车操纵稳定性试验类型自动分类方法。在分析汽车操纵稳定性试验类型数据图像特征的基础上,建立了由1个输入层、3个卷积层、3个批归一化层、2个最大池化(Max-pooling)层、5个线性整流函数(ReLU)层、3个全连接层、2个活化(Dropout)层、1个激活函数(Softmax)层和1个分类输出层组成的汽车操纵稳定性试验类型分类卷积神经网络模型。利用2250组试验采集的数据对模型进行了训练和验证。经验证,类型分类准确率为99.33%,平均识别时间为0.05 s。结果表明,本文提出的基于卷积神经网络的汽车操纵稳定性试验类型自动识别方法可有效区分不同试验类型,可用于汽车操纵稳定性试验结果的自动处理,显著提升汽车操纵稳定性试验自动化处理水平。To meet the need of automatic identification of test types,which is aimed at automatic processing of vehicle handling and stability test evaluation indicators,this paper proposes a vehicle handling and stability test type recognition method based on convolutional neural network.On the basis of analyzing the image characteristics of the test type data,a vehicle handling and stability test type recognition model based on convolution neural network is established,which consists of 1 input layer,3 convolution layers,3 batch normalization layers,2 Maxpooling layers,5 linear rectification function(ReLU)layers,3 full connection layers,2 Dropout layers,1 Softmax layer and 1 classification layer.The model is trained and verified using 2250 groups of data collected from the tests.The accuracy of type recognition is 99.33%,and the average recognition time is 0.05 s.The results show that the vehicle handling and stability test type recognition method based on convolutional neural network proposed in this paper can effectively distinguish different test types,which can be used for automatic processing of vehicle handling and stability test results,and can significantly improve the automatic processing level of vehicle handling and stability test.

关 键 词：汽车试验 类型识别 卷积神经网络 汽车操纵稳定性 

分 类 号：U467[机械工程—车辆工程]