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作 者:何佳[1] 郭蓬[1] 唐风敏[1] 张正奇 夏显召 He Jia;Guo Peng;Tang Fengmin;Zhang Zhengqi;Xia Xianzhao(China Automotive Technology&Research Center Co.Ltd Automotive Engineering Research Institute,Tianjin 300300)
机构地区:[1]中国汽车技术研究中心有限公司汽车工程研究院,天津300300
出 处:《汽车实用技术》2020年第17期46-48,共3页Automobile Applied Technology
基 金:中汽中心重点科研项目(18200111)。
摘 要:车辆盲区监测系统作为辅助驾驶员视角的系统,对减少驾驶员观测盲区具有重要意义。角毫米波雷达数据基于直角坐标系进行数据处理,而当车辆处于弯道行驶时,常用方法很难判断后方车辆是否与本车辆在同一车道上。基于此,提出基于车辆转向模型和最小二乘法轨迹圆拟合相结合的道路曲率计算方法,从而判断其它车辆与本车之间的相对车道位置,以此推测其它车辆是否对本车的正常行驶带来危险,从而当车辆在弯道行驶时降低盲区监测系统的误报率。As an assistant driver's visual angle system,vehicle blind area monitoring system is of great significance to reduce the blind area observed by drivers.The data of the angular radar is processed based on the rectangular coordinate system,but when the vehicle is in a curve,it is difficult to judge whether the rear vehicle is in the same lane with the vehicle.Based on this,a road curvature calculation method based on the combination of the vehicle steering model and the least square method of track circle fitting is proposed to judge the relative lane position between other vehicles and the vehicle,so as to speculate whether other vehicles bring danger to the normal driving of the vehicle,so as to reduce the false alarm rate of the blind area monitoring system when the vehicle is driving in the curve.
分 类 号:TN95[电子电信—信号与信息处理]
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