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Research on Driver's Steering Intention Classification and Identification under Different Typical Operating Conditions
| 题名： | Research on Driver's Steering Intention Classification and Identification under Different Typical Operating Conditions |
| 正文语种： | 中文 |
| 作者： | Hua Yiding Jiang Haobin Tian Huan Wei Binyuan Li Aoxue Cai Junyu |
| 作者单位： | of Automobile and Traffic Engineering,Jiangsu University of Automobile and Traffic Engineering,Jiangsu University;Automotive Engineering Research Institute,Jiangsu University |
| 关键词： | driver's steering intention real vehicle test principal component analysis cluster analysis Gath-Geva algorithm |
| 摘要： | This paper selected five driving school coaches with different driving experience and gender as real vehicle test drivers,four typical car steering conditions test data with four different vehicles is collected.And this paper use principal component analysis and clustering analysis to classify and identify driver's intention.The paper analyzes the advantages and disadvantages of the three different clustering methods in the direction of driver's steering intention,and it can be analyzed that the Gath-Geva algorithm is more advanta-geous than the fuzzy C-means algorithm and Gustafson-Kessel algorithm by clustering center data analysis and clustering objective evalua-tion index analysis. |
| 会议日期： | 20171024 |
| 会议举办地点： | 上海 |
| 会议名称： | 第19届亚太汽车工程年会暨2017中国汽车工程学会年会 |
| 出版日期： | 1024-01-20 |
| 母体文献： | 第19届亚太汽车工程年会暨2017中国汽车工程学会年会论文集 |
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