Validation of Automated Driving Function Based on the Apollo Platform: A Milestone for Simulation with Vehicle-in-the-Loop Testbed

Hexuan Li, V. Makkapati, Li Wan, E. Tomasch, H. Hoschopf, A. Eichberger
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引用次数: 3

Abstract

With the increasing complexity of automated driving features, it is crucial to adopt innovative approaches that combine hardware and software to validate prototype vehicles in the early stages of development. This article demonstrates the effectiveness of a Vehicle-in-the-Loop (ViL) testbed in conducting dynamic tests of vehicles equipped with highly automated driving functions. The tests are designed to replicate critical driving scenarios from real-world environments on the ViL testbed. In this study, the Apollo platform is utilized to develop an automated driving function that can perceive the surrounding traffic in a virtual environment and generate feasible trajectories. This is achieved with the help of a multibody simulation platform. The control commands from the simulated driving function are then transmitted to the real vehicle to execute the planned action. The results demonstrate that critical traffic scenarios can be replicated more safely and repeatedly on the ViL testbed. Meanwhile, the Apollo-based driving function can effectively and comfortably cope with critical scenarios. Importantly, this study marks a significant milestone for the Apollo platform as it is implemented in a real-time system and tested on a ViL testbed.
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基于Apollo平台的自动驾驶功能验证:车辆在环试验台仿真的里程碑
随着自动驾驶功能的日益复杂,在开发的早期阶段,采用结合硬件和软件的创新方法来验证原型车是至关重要的。本文演示了车辆在环(ViL)试验台对配备高度自动驾驶功能的车辆进行动态测试的有效性。这些测试旨在在ViL测试平台上复制现实环境中的关键驾驶场景。在本研究中,利用Apollo平台开发了一种自动驾驶功能,该功能可以在虚拟环境中感知周围交通并生成可行的轨迹。这是在多体仿真平台的帮助下实现的。然后将模拟驾驶功能的控制命令传输到真实车辆以执行计划动作。结果表明,关键交通场景可以在ViL测试平台上更安全、更重复地复制。同时,基于阿波罗的驾驶功能可以有效舒适地应对关键场景。重要的是,这项研究标志着阿波罗平台的一个重要里程碑,因为它是在实时系统中实现的,并在ViL测试台上进行了测试。
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