Dynamic cluster tracking technique for traffic monitoring using on-vehicle radar

N. Zorka, K. Cheok
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引用次数: 1

Abstract

Predictive sensing applications are starting to find wide applications in automotive safety applications. In collision situations the need to alert the driver and to take effective countermeasures to meet the needs of the vehicle occupant safety is becoming increasingly more dependent on sensors. Electronic systems to provide warning and to implement active adaptation of occupant restraints to provide for enhanced safety protection are becoming more dependent on active safety sensors. This paper deals with a system that uses radar sensors that provides the ability to cluster the number of vehicles based on radar return signals and to actively track their movement with a Kalman filter.
基于车载雷达的交通监控动态聚类跟踪技术
预测传感应用开始在汽车安全应用中得到广泛应用。在碰撞情况下,需要提醒驾驶员并采取有效的对策来满足车辆乘员的安全需要,这越来越依赖于传感器。提供警告和实施主动适应乘员约束以提供增强安全保护的电子系统越来越依赖于主动安全传感器。本文研究了一种利用雷达传感器的系统,该系统能够根据雷达返回信号对车辆数量进行聚类,并利用卡尔曼滤波器主动跟踪车辆的运动。
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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