基于传感器融合的人行横道行人碰撞预警系统

Shigetaka Suzuki, P. Raksincharoensak, I. Shimizu, M. Nagai, R. Adomat
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引用次数: 24

摘要

本文介绍了一种基于单目摄像机和毫米波雷达传感器融合的具有人行横道检测功能的行人碰撞预警系统。判断行人是否存在的方法是基于一个假设,即沿着人行横道移动的物体在某些情况下可以被解释为行人。所述解决方案的优点是鲁棒性和有效性,因为它仅限于人行横道。摄像头可以用来检测人行横道。来自两个传感器的数据可以用来推断行人的存在。介绍了传感器数据融合算法。然后,本文描述了一个警告概念,该概念根据估计的碰撞概率向驾驶员提供有关人行横道和行人存在的听觉警报和视觉信息。最后,通过实验车辆的试驾,验证了该预警系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor fusion-based pedestrian collision warning system with crosswalk detection
This paper describes a pedestrian collision warning system with crosswalk detection feature based on sensor fusion of a monocular camera and a millimeter wave radar. The method to decide about the presence of a pedestrian is based on the assumption that objects moving along a crosswalk can be interpreted as pedestrians under certain circumstances. The advantage of the described solution is its robustness and effectiveness since it is limited to crosswalks. The camera can be used to detect the crosswalk. Data from both sensors can then be used to infer about the presence of a pedestrian. The sensor fusion algorithm which combines data from the sensors is explained. Then the paper describes a warning concept which provides auditory alarm and visual information about the presence of a crosswalk as well as pedestrians to a driver, depending on the estimated collision probability. Finally, test drives on an experimental vehicle are presented and the results verify that the proposed warning system is running in practice.
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