With the development of advanced communication technology, connected vehicles become increasingly popular in our transportation systems, which can conduct cooperative maneuvers with each other as well as road entities through vehicle-to-everything communication. A lot of research interests have been drawn to other building blocks of a connected vehicle system, such as communication, planning, and control. However, less research studies were focused on the human-machine cooperation and interface, namely how to visualize the guidance information to the driver as an advanced driver-assistance system (ADAS). In this study, we propose an augmented reality (AR)-based ADAS, which visualizes the guidance information calculated cooperatively by multiple connected vehicles. An unsignalized intersection scenario is adopted as the use case of this system, where the driver can drive the connected vehicle crossing the intersection under the AR guidance, without any full stop at the intersection. A simulation environment is built in Unity game engine based on the road network of San Francisco, and human-in-the-loop (HITL) simulation is conducted to validate the effectiveness of our proposed system regarding travel time and energy consumption.

中文翻译：

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用于联网车辆的基于增强现实的高级驾驶员辅助系统

随着先进通信技术的发展，车联网在我们的交通系统中越来越受欢迎，车联网可以通过车对万物的通信进行相互以及道路实体的协同机动。许多研究兴趣已被吸引到联网车辆系统的其他构建模块上，例如通信、规划和控制。然而，很少有研究关注人机协作和界面，即如何将引导信息可视化为高级驾驶辅助系统（ADAS）。在这项研究中，我们提出了一种基于增强现实 (AR) 的 ADAS，它可视化由多个联网车辆协同计算的引导信息。采用无信号交叉口场景作为该系统的用例，驾驶员可以在AR引导下驾驶联网车辆穿越路口，而无需在路口完全停下。在基于旧金山道路网络的 Unity 游戏引擎中构建了一个模拟环境，并进行了人在回路 (HITL) 模拟以验证我们提出的系统在旅行时间和能源消耗方面的有效性。