论文标题
Dreyevr:民主化虚拟现实驱动模拟行为与互动研究
DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research
论文作者
论文摘要
由于安全性,成本和实验性控制问题,模拟器是行为和互动研究的重要工具。最先进的模拟器使用昂贵的360度预测系统,以确保视觉保真度,完整的视野和沉浸式。但是,使用基于虚拟现实(VR)的视觉界面可以实现类似的视觉保真度。我们提出了Dreyevr,这是一种基于行为和互动研究重点的开源VR驾驶模拟器平台。 Dreyevr(读取“驱动程序”)基于虚幻的发动机和Carla自动驾驶汽车模拟器,具有远程跟踪,功能性驾驶头部显示器(HUD)和车辆音频,自定义的可定义路线和交通情况,实验记录,重放功能以及与ROS的兼容性。我们描述了以低于5000美元的价格部署此模拟器所需的硬件,比市售模拟器便宜得多。最后,我们描述了如何利用Dreyevr在示例场景中回答互动研究问题。
Simulators are an essential tool for behavioural and interaction research on driving, due to the safety, cost, and experimental control issues of on-road driving experiments. The most advanced simulators use expensive 360 degree projections systems to ensure visual fidelity, full field of view, and immersion. However, similar visual fidelity can be achieved affordably using a virtual reality (VR) based visual interface. We present DReyeVR, an open-source VR based driving simulator platform designed with behavioural and interaction research priorities in mind. DReyeVR (read "driver") is based on Unreal Engine and the CARLA autonomous vehicle simulator and has features such as eye tracking, a functional driving heads-up display (HUD) and vehicle audio, custom definable routes and traffic scenarios, experimental logging, replay capabilities, and compatibility with ROS. We describe the hardware required to deploy this simulator for under $5000$ USD, much cheaper than commercially available simulators. Finally, we describe how DReyeVR may be leveraged to answer an interaction research question in an example scenario.