Occlusion Handling in Radar for Detection of Obstacles Based on Tracking Model

Shai Segal, A. Logvinenko, A. Slapak
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引用次数: 2

Abstract

A simple method to improve detection and false alarm rates in obstacle detection applications is tracking objects in time. However, the performance of trackers is heavily dependent on good continuity of the tracking process. Occlusions of objects are a key challenge for continuous tracking and may cause a tracker to disassociate from its target. In the famework of radar for detection of obstacles, especially in a multi-target environment, occlusions of objects frequently occur, thus deteriorating the effectiveness of a tracker. In this work, the phenomenology of such occlusions is discussed, and a method for handling occlusion is presented The effectiveness of this method is demonstrated with an extended Kalman filter, which tracks measurements taken in drive tests and in-flight tests with a pulse-Doppler polarimetric radarfor detection ofwires andpylons.
基于跟踪模型的雷达障碍物检测遮挡处理
在障碍物检测应用中,提高检测率和虚警率的一种简单方法是及时跟踪目标。然而,跟踪器的性能在很大程度上取决于跟踪过程的良好连续性。物体的遮挡是连续跟踪的一个关键挑战,可能导致跟踪器与目标分离。在雷达障碍物检测框架中,特别是在多目标环境下,经常出现物体遮挡,从而降低了跟踪器的有效性。在这项工作中,讨论了这种遮挡的现象学,并提出了一种处理遮挡的方法。该方法的有效性通过扩展卡尔曼滤波器来证明,该滤波器跟踪在驱动测试和飞行测试中使用脉冲多普勒极化雷达检测电线和塔的测量结果。
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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