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Robustness Analysis of License Plate Visual Positioning Method in Vehicle Collision Warning System

机译:车辆碰撞预警系统中车牌视觉定位方法的鲁棒性分析

摘要

Vehicle anti-collision warning system is a key research area of vehicle safety. It is also a necessary means to enhance driving safety and reduce traffic accidents. The visual location method is presented for this system based on license plate image. This method realizes visual positioning with the help of the mounting points of license plate. At the same time, the feasible robust analysis method is proposed for the visual positioning method with license plate frame image. Finally, the robust analysis determines good angles for commutating rotation parameter in the method of license plate image visual positioning. At the same time, it determines good angles for translation parameter and for rotation and translation transform. Therefore, robust analysis determines positions where the visual positioning method has high positioning accuracy. Robust analysis for license plate vision positioning method is useful in analysis of high positioning accuracy positions for the proposed license plate image visual location method combined with plate mounting points. The research content of this paper is beneficial to driver decision-making and improves the safety of collision warning system and intelligent vehicle.
机译:车辆防撞预警系统是车辆安全的重点研究领域。这也是提高驾驶安全和减少交通事故的必要手段。提出了基于车牌图像的视觉定位方法。该方法借助车牌的安装点实现视觉定位。同时,针对车牌框图像的视觉定位方法,提出了一种可行的鲁棒分析方法。最后,鲁棒性分析确定了车牌图像视觉定位方法中用于换向旋转参数的良好角度。同时,它确定平移参数以及旋转和平移变换的良好角度。因此,稳健的分析确定了视觉定位方法具有较高定位精度的位置。车牌视觉定位方法的鲁棒性分析对于结合车牌安装点的拟议车牌图像视觉定位方法的高定位精度位置分析很有用。本文的研究内容有利于驾驶员决策,提高了碰撞预警系统和智能车辆的安全性。

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