Method of Vehicle Cut-In Action Recognition Using Vehicular Radar
被引:0
作者:
Zhang, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R ChinaBeijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R China
Zhang, Wei
[1
]
Liu, Haiou
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h-index: 0
机构:
Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R ChinaBeijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R China
Liu, Haiou
[1
]
Chen, Huiyan
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R ChinaBeijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R China
Chen, Huiyan
[1
]
机构:
[1] Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing, Peoples R China
来源:
2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL IV
|
2010年
关键词:
vehicular radar;
cutting-in action;
detector;
kernel density estimation;
D O I:
暂无
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
It was helpful for the ACC cars to smoothly control its own velocity if the cut-in actions of other vehicles were detected early and rapidly. The cut-in process was analyzed. Based on target information obtained by vehicular radar, the distribution of the target cut-in characteristics was showed in the y-v(y) space and a kind of detector was proposed to recognize the cut-in action. Because of the discontinuity difference of lateral position, which could not reflect motion state of the target vehicle and had great impact on the detecting results, a kernel density estimation approach was used for data pretreatment. Finally, the detector boundaries were given and verified by experiment. The experiment results show that the detecting method recognizes the cut-in action accurately and timely whether from right or left side.