Road maintenance operators often work in dangerous environments and are in need of a support system to enhance their safety and efficiency. Augmented reality (AR) has proven to be useful in providing support to operators in various industrial sectors. However, the vast majority of the existing applications focus mainly on static, controlled environments, such as industrial shopfloors, although the dynamic flow of information that AR can provide could be very valuable to unstructured, dynamic environments. This paper presents a novel AR—based methodology for human–robot collaboration, real-time instructions, and support for road maintenance operations, aiming to enhance operator safety and efficiency. A robot operating system-based architecture is exploited for the communication of the modules. The methodology is tested in a laboratory environment, and the results validate the hypothesized enhancement of road operators. In the future, the application will be validated on real interventions in highways.

中文翻译：

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基于增强现实的道路维护操作员人机协作干预方法

道路维护操作员经常在危险的环境中工作，需要支持系统来提高其安全性和效率。事实证明，增强现实 (AR) 在为各个工业领域的操作员提供支持方面非常有用。然而，绝大多数现有应用程序主要关注静态、受控环境，例如工业车间，尽管 AR 可以提供的动态信息流对于非结构化、动态环境可能非常有价值。本文提出了一种基于 AR 的新颖方法，用于人机协作、实时指令和道路维护操作支持，旨在提高操作员的安全性和效率。基于机器人操作系统的架构被用于模块的通信。该方法在实验室环境中进行了测试，结果验证了道路运营商的假设增强。未来，该应用程序将在高速公路的实际干预中得到验证。