Automotive radar target tracking by Kalman filtering

A. Macaveiu, A. Campeanu
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引用次数: 15

Abstract

Automotive radars have been introduced successfully into the consumer market with sensors in the 24- and 77-GHz domain [1]. In order to increase traffic safety, an application for detecting and tracking Vulnerable Road Users (VRU) and vehicles in front of the car is currently under development. By using a single 24-GHz radar sensor, target parameters like range, radial velocity and azimuth angle are measured even in multiple target scenarios. This paper describes the current implementation progress of a signal processing scheme for target tracking by Kalman filtering and presents tracking results using real measurement data. The work is developed under the FP7 EC funded project ARTRAC [2].
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基于卡尔曼滤波的汽车雷达目标跟踪
汽车雷达已成功引入消费市场,传感器在24和77 ghz域[1]。为了提高交通安全,目前正在开发一种用于检测和跟踪汽车前方弱势道路使用者(VRU)和车辆的应用程序。通过使用单个24 ghz雷达传感器,即使在多个目标场景下,也可以测量目标的距离、径向速度和方位角等参数。本文介绍了一种利用卡尔曼滤波进行目标跟踪的信号处理方案的实现进展,并给出了利用实测数据进行目标跟踪的结果。这项工作是在FP7 EC资助的ARTRAC项目下进行的[2]。
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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