Application of Mixed Reality in Driverless Vehicles Technology Courses Testing and Teaching Activities

Qinghe Liu, Lingming Kong, Guanzhe Zhang, Lijun Zhao
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Abstract

At present, driverless vehicles technology has become the most concerned hot spot in the automotive field, and college students' learning enthusiasm in this field is unprecedented. However, the existing teaching and testing methods and resources are far from meeting the requirements. The main difficulties are (1) it is difficult to realize the traffic scene of driverless vehicles technology; (2) Using real vehicle experiment is prone to collision, resulting in loss of personnel and property. In this paper, a technical scheme of constructing driverless vehicles technology testing and teaching environment in the laboratory by using mixed reality technology is proposed. The complex traffic scene is realized in the simulation software by using virtual reality technology, and the driverless vehicles adopts the real scaling-down automatic chassis model. Through hardware in the loop simulation, the mixture of virtual traffic environment and the actual reality of driverless vehicle model is realized. This method has the advantages of rich traffic scenes and flexible adjustment, and the collision between real vehicles and virtual vehicles will not cause actual property damage.
混合现实在无人驾驶汽车技术课程测试与教学活动中的应用
目前,无人驾驶汽车技术已经成为汽车领域最受关注的热点,大学生对这一领域的学习热情也是前所未有的。然而,现有的教学和测试方法和资源远远不能满足要求。主要难点是:(1)难以实现无人驾驶汽车技术的交通场景化;(2)使用真车实验容易发生碰撞,造成人员和财产损失。本文提出了一种利用混合现实技术在实验室构建无人驾驶汽车技术测试与教学环境的技术方案。利用虚拟现实技术在仿真软件中实现复杂的交通场景,无人驾驶车辆采用真实缩小自动底盘模型。通过硬件在环仿真,实现了虚拟交通环境与现实无人驾驶汽车模型的融合。该方法具有交通场景丰富、调整灵活等优点,且真实车辆与虚拟车辆发生碰撞不会造成实际财产损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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