卡尔曼滤波在汽车视觉感知系统中的意义

B. Kisačanin, Dong Zhang, E. Viscito, Zoran Nikolić
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引用次数: 0

摘要

本文给出了卡尔曼滤波在汽车视觉感知系统中的应用实例。我们发现,通过适当的时间对象关联块,卡尔曼滤波器可以很好地估计被检测对象的位置、速度和加速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Significance of the Kalman Filter in an Automotive Visual Perception System
We present an example of use of the Kalman Filter in an automotive visual perception system. We find that with appropriate temporal object association block, the Kalman Filter provides excellent estimates of positions, velocities, and accelerations of detected objects.
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