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Research on maneuvering model algorithm based on vehicle tracking

机译:基于车辆跟踪的机动模型算法研究

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Because of vehicle motion uncertainty make vehicle tracking some disadvantages in vehicle active anti-collision warning system, this paper comes up with the maneuvering model algorithm which uses maneuvering parameter to choose maneuvering target tracking algorithm. Maneuvering parameter is proposed in this paper to judge vehicle's uncertainty. Maneuvering parameter changes with the change of vehicle's movement constantly. Dynamic scopes can be divided into three intervals within the scope based on maneuvering model algorithm. The different interval corresponds to the maneuvering target tracking algorithm. Through simulation of vehicle driving condition in urban and residual of vehicle tracking process by maneuvering model algorithm and three maneuvering target tracking algorithms. The conclusion is that maneuvering model algorithm is better than others in vehicle tracking performance. The maneuvering model algorithm proposed in this paper can track vehicle's driving.
机译:由于车辆运动的不确定性,使得车辆跟踪在主动防撞预警系统中存在一些弊端,提出了一种操纵模型算法,该算法利用操纵参数来选择操纵目标跟踪算法。本文提出了操纵参数来判断车辆的不确定性。操纵参数随着车辆运动的不断变化而变化。根据操纵模型算法,动态范围可以分为三个范围。不同的间隔对应于机动目标跟踪算法。通过机动模型算法和三种机动目标跟踪算法对市区的车辆行驶状况和车辆残差跟踪过程进行了仿真。结论是,机动模型算法在车辆跟踪性能上优于其他模型。本文提出的机动模型算法可以跟踪车辆的行驶。

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