| 乘用车谱聚类FCAS/PCW风险等级分类算法研究 |
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| 引用本文： | 李畅,孙海明,宋攀.乘用车谱聚类FCAS/PCW风险等级分类算法研究[J].湖北汽车工业学院学报,2020,34(1):32-38. |
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| 作者姓名： | 李畅 孙海明 宋攀 |
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| 作者单位： | 湖北汽车工业学院 机械工程学院,湖北 十堰 442002;中国汽车技术研究中心有限公司,天津 300300,湖北汽车工业学院 机械工程学院,湖北 十堰 442002,中国汽车技术研究中心有限公司,天津 300300 |
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| 摘 要： | 从实车道路测试数据库中提取紧急制动事件的减速度曲线,基于模糊谱聚类分析研发了在线风险等级分类的避碰算法(FCAS/PCW),并进行Euro-NCAP 2020测试场景下的仿真测试,结果表明:在前车静止、前车低速行驶、前车紧急制动等场景下,试验车以20~80 km·h-1的速度行驶,运用文中算法均能成功避碰,且制动时机更合理,两车最终相对距离为2~12 m,有效减少了对驾驶员正常驾驶的干扰。
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| 关 键 词： | 避碰系统 减速度曲线 聚类分析 FCAS/PCW算法 |
FCAS and PCW Algorithm for Passenger Vehicle Based on Spectral Cluster Analysis |
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| Li Chang,Sun Haiming,Song Pan.FCAS and PCW Algorithm for Passenger Vehicle Based on Spectral Cluster Analysis[J].Journal of Hubei Automotive Industries Institute,2020,34(1):32-38. |
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| Authors: | Li Chang Sun Haiming Song Pan |
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| Institution: | (School of Mechanical Engineering,Hubei University of Automotive Technology,Shiyan 442002,China;China Automotive Technology and Research Center Co.Ltd,Tianjin 300300,China) |
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| Abstract: | The deceleration curve of the emergency braking event was extracted from the real vehicle road test database.An online collision avoidance algorithm(FCAS/PCW)was developed based on fuzzy spectrum cluster analysis.The simulation test was performed in the scenario of Euro-NCAP 2020,when the front vehicle was stationary/running at low speed/in emergency braking.The results show that the collision can be avoided with the algorithm successfully and the braking timing is more reasonable when the test vehicle travels at a speed of 20~80 km·h^-1.The final relative distance between two vehicles is 2~12 m,which effectively reduces the interference to the driver's normal driving. |
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| Keywords: | collision avoidance system deceleration curve cluster analysis FCAS/PCW algorithm |
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