基于EKF和图像处理的单相机被动距离估计

Majid Amjadyan, M. Boroumand, M. H. Ferdowsi
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引用次数: 1

摘要

本文提出了一种被动距离估计器,通过估计传感器或导引头与目标之间的距离。该方法基于传感器捕获的场景中物体距离的变化而引起的物体大小的变化。在该方法中,我们使用扩展卡尔曼滤波(EKF)来估计物体的大小(物理尺寸)。物体的估计大小和随时间从感知场景中收集的信息用于被动估计物体的范围。结果表明,与其他方法相比,单相机被动距离估计更通用、更广泛,相对误差更小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive range estimation by one camera using EKF and image processing
This paper proposes a passive range estimator by estimating the distance between a sensor or seeker from an object. The proposed approach works based on the changes of the object size due to the changes of object distance within a scene captures by the sensor. In this method we use an Extended Kalman Filter (EKF) to estimate the size of the object (physical dimension). The estimated size of the object and the information gathered from the sensed scene over time is used to passively estimate the object range. The results show more general and extended passive range estimation (by one camera) than other methods with less relative errors.
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