A method for measuring kinematic parameters of experimental vehicle based on machine vision

Li-Ping Zi, W. Tao
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引用次数: 1

Abstract

The vehicle kinematic parameter is important evaluation index of vehicle performance. But The measurement technique of vehicle kinematics parameters is still immature. Practical and efficient measuring system is now in badly demand. With the develop of machine vision technique, more and more measurement problems can be solved better by combining the measuring task with optical system. And on this basis the accuracy and efficiency of kinematic parameter measurement can be improved. A measuring plan is presented in this paper. In order to simplify the measuring algorithm, a simple and practical marker is designed as the substitute of vehicle. The complex measurement system is simplified and transformed to the detection and trajectory tracking of the marker. The marker has clear distinction from the background, it has clear boundary, obvious characteristics and easy to be recognition and detected, at the same time, it meets the precision requirement of position and direction measurement. Meanwhile, in order to reduce the amount of computation and improve the speed of detection, two efficient local detection strategies using neighborhood and movement prediction theories are presented. Several experiments through MATLAB are conducted to verify the feasibility and accuracy of measuring method proposed above.
基于机器视觉的实验车辆运动参数测量方法
车辆运动学参数是评价车辆性能的重要指标。但车辆运动学参数的测量技术尚不成熟。目前迫切需要实用、高效的测量系统。随着机器视觉技术的发展,将测量任务与光学系统相结合可以更好地解决越来越多的测量问题。在此基础上,可以提高运动参数测量的精度和效率。本文提出了一种测量方案。为了简化测量算法,设计了一种简单实用的标记器来代替车辆。将复杂的测量系统简化转化为对目标的检测和轨迹跟踪。该标记物与背景区分清晰,边界清晰,特征明显,易于识别和检测,同时满足位置和方向测量的精度要求。同时,为了减少计算量和提高检测速度,提出了基于邻域和运动预测理论的两种高效的局部检测策略。通过MATLAB进行了多次实验,验证了上述测量方法的可行性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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