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作 者:马玉春 周劲草[3] MA Yuchun;ZHOU Jincao(College of Highway,Chang'an University,Xi'an Shaanxi 710064,China;College of Mechanical Engineering,Xinjiang University,Urumqi Xinjiang 830046,China;College of Automobile,Chang'an University,Xi'an Shaanxi 710064,China)
机构地区:[1]长安大学公路学院,陕西西安710064 [2]新疆大学机械工程学院,新疆乌鲁木齐830046 [3]长安大学汽车学院,陕西西安710064
出 处:《中国安全科学学报》2018年第6期79-84,共6页China Safety Science Journal
摘 要:针对现有机器视觉测距技术存在焦距选择不当,以及由特征点离地间隙造成的纵向测距精确性较低导致纵向预警时刻滞后的问题,提出一种基于视野修正和投影修正技术的用于测量同向行驶且有不可忽视的碰撞风险的2个车辆间纵向距离的方法。采用麋鹿试验分析发散态纵向识别区域模型不足,建立收敛态纵向预警区域模型,结合安全制动距离动力学仿真结果,计算出收敛态纵向预警区域模型对应的稳态成像焦距值,完成视野修正;利用静态参数拟合回归得出纵向误差函数,完成特征点投影修正,实现高精度纵向距离测量。运用靶源板静态试验进行测量验证。结果表明:文中所给方法在30~100m测量范围内的测量精确度平均相对误差低于3.5%,绝对误差小于2.6 m。In view of that the longitudinal warning system delay phenomenon caused by the low accuracy of longitudinal ranging results in traditional computer vision,a visual revision and projection reversion technique based method was developed for measuring the longitudinal distance between the two vehicles running in the same direction and having a significant risk of collision. A convergence state longitudinal early warning model was built after analyzing the defects in the traditional emanative distance detection models by using the elk test method. The static experiment based on target source plate shown that the average absolute and relative errors of distance measurement by the method are less than 2. 6 m and 3. 5%respectively in the 30-100 m range of distance.
关 键 词:机器视觉 动力学仿真 麋鹿试验 制动距离 数据拟合
分 类 号:X913.4[环境科学与工程—安全科学]
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