论文标题
基于视觉的警告系统，用于短期道路工作网站上的维护人员
Vision-based Warning System for Maintenance Personnel on Short-Term Roadwork Site
论文作者
论文摘要
我们为在短期施工现场工作的维护人员提供基于视觉的警告系统。传统解决方案使用被动保护，例如设置交通锥，安全信标甚至什么都没有。但是，这种方法不能用作将工作区域与二手车道分开的物理安全障碍。相比之下，我们的系统提供了积极的保护，利用声学和视觉警告信号，以帮助公路工人在通过工作区之前谨慎对待车辆。为了减少太多警告以减轻公路工人的干扰，我们实施了交通流盘检查算法，可以通过该算法过滤约80％的无用通知。我们在实验室条件和现实世界中进行评估，证明了系统的适用性和可靠性。
We propose a vision-based warning system for the maintenance personnel working on short-term construction sites. Traditional solutions use passive protection, like setting up traffic cones, safety beacons, or even nothing. However, such methods cannot function as physical safety barriers to separate working areas from used lanes. In contrast, our system provides active protection, leveraging acoustic and visual warning signals to help road workers be cautious of approaching vehicles before they pass the working area. To decrease too many warnings to relieve a disturbance of road workers, we implemented our traffic flow check algorithm, by which about 80% of the useless notices can be filtered. We conduct the evaluations in laboratory conditions and the real world, proving our system's applicability and reliability.
