论文标题
用于连接车辆的增强基于现实的高级驾驶员辅助系统
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles
论文作者
论文摘要
随着先进通信技术的发展，连接的车辆在我们的运输系统中变得越来越流行，这可以通过车辆到设施进行通信进行合作操作以及道路实体。已经吸引了许多研究兴趣，这些兴趣已被连接的车辆系统的其他构建块，例如通信，计划和控制。然而，较少的研究集中在人机合作和界面上，即如何将指导信息可视化给驾驶员作为先进的驾驶员辅助系统（ADAS）。在这项研究中，我们提出了一个基于增强的现实（AR）ADA，可视化由多个连接车辆合作计算的指导信息。采用未信号的十字路口方案作为该系统的用例，驾驶员可以在AR指导下驾驶连接的车辆越过交叉路口，而无需在交叉路口进行任何完整停止。基于旧金山的道路网络建立了统一游戏引擎的模拟环境，并进行了人类（hitl）模拟，以验证我们拟议系统在旅行时间和能源消耗方面的有效性。
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.
