用虚拟环境模拟车辆测试,安全高效验证自动驾驶功能。
Vehicle-in-Virtual-Environment Method for ADAS and Connected and Automated Driving Function Development/Demonstration/Evaluation
- 在虚拟环境中操控实体车,实时同步位置与感知数据。
- 可重复生成极端交通场景,避免真实道路测试风险。
- 适合自动驾驶系统开发与安全评估,尤其适用于行人交互测试。
当前自动驾驶辅助系统(ADAS)和车联网自动驾驶(CAD)功能的开发依赖大量公共道路测试,因极端事件稀少,需行驶极长里程,成本高且对其他道路使用者构成安全风险。为此提出一种名为车辆-虚拟环境(Vehicle-in-Virtual-Environment, VVE)的新方法,实现安全、高效、可重复的开发、演示与评估。该方法中,车辆在空旷平坦区域运行,其定位与感知数据由虚拟环境提供,虚拟世界可按需生成交通参与者及罕见极端事件。本文聚焦VVE方法,介绍虚拟与物理世界间位姿(位置与朝向)同步所需的坐标变换,并基于俄亥俄州哥伦布市一辆自动驾驶接驳车部署点的高保真3D仿真模型构建虚拟环境。进一步以多智能体为例,展示使用VVE进行车与虚拟脆弱道路使用者(VRU)通信的安全性实验,结合真实行人,在安全可控条件下完成可重复测试。通过实验验证了该方法的有效性。
原文摘要 · Abstract (English)
The current approach for new Advanced Driver Assistance System (ADAS) and Connected and Automated Driving (CAD) function development involves a significant amount of public road testing which is inefficient due to the number miles that need to be driven for rare and extreme events to take place, thereby being very costly also, and unsafe as the rest of the road users become involuntary test subjects. A new development, evaluation and demonstration method for safe, efficient, and repeatable development, demonstration and evaluation of ADAS and CAD functions called VehicleInVirtualEnvironment (VVE) was recently introduced as a solution to this problem. The vehicle is operated in a large, empty, and flat area during VVE while its localization and perception sensor data is fed from the virtual environment with other traffic and rare and extreme events being generated as needed. The virtual environment can be easily configured and modified to construct different testing scenarios on demand. This paper focuses on the VVE approach and introduces the coordinate transformations needed to sync pose (location and orientation) in the virtual and physical worlds and handling of localization and perception sensor data using the highly realistic 3D simulation model of a recent autonomous shuttle deployment site in Columbus, Ohio as the virtual world. As a further example that uses multiple actors, the use of VVE for VehicleToVRU communication based Vulnerable Road User (VRU) safety is presented in the paper using VVE experiments and real pedestrian(s) in a safe and repeatable manner. VVE experiments are used to demonstrate the efficacy of the method.
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