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A Fast Method for Measuring Kinematic Parameters of Experimental Vehicle Based on Machine Vision

机译:基于机器视觉测量实验车辆运动学参数的快速方法

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摘要

The vehicle kinematic parameter is important evaluation index of vehicle performance. But the measurement technique for vehicle kinematics parameters is still immature. Practical and efficient measuring system is nowin badly demand. With the development 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 kinematicparameter measurement can be improved. A measuringplan is presented in this paper. In order to simplify the measuring algorithm, a simple and practical marker is as the substitute of vehicle. The complex measurement system is simplified and transformed to detection and trajectory tracking of the marker. In order to reduce the amount of computation and improve the speed of detection, a motion prediction local detection theory is presented to replace the traditional background subtraction detection method. Several experiments through MATLAB are conducted to verify the feasibility and accuracy of this measuring method.
机译:车辆运动学参数是车辆性能的重要评估指标。但是车辆运动学参数的测量技术仍然不成熟。实用高效的测量系统现在需求量严重。随着机器视觉技术的发展,通过将测量任务与光学系统组合来更好地解决越来越多的测量问题。在此基础上,可以提高KinematicParameter测量的准确性和效率。本文提出了一个测量值。为了简化测量算法,简单实用的标记作为车辆的替代品。复杂的测量系统被简化和转换为标记的检测和轨迹跟踪。为了减少计算量并提高检测速度,提出了运动预测局部检测理论以取代传统的背景减法检测方法。通过MATLAB进行几个实验,以验证该测量方法的可行性和准确性。

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