Open-Source CiThruS Simulation Environment for Real-Time 360-Degree Traffic Imaging

Teo T. Niemirepo, Juuso Toivonen, Marko Viitanen, Jarno Vanne
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引用次数: 3

Abstract

This paper presents an open-source simulation environment for 360-degree traffic imaging. The environment is built on the openly available AirSim Windridge City Asset. In this work, the city is populated with custom autonomous vehicles and pedestrians. The vehicles navigate along a designed node map that can be manually placed on the roads according to the specified traffic regulations. The vehicles are also made to detect other vehicles, pedestrians, and traffic lights for simple collision avoidance and smoother traffic flows in intersections. The pedestrians follow a NavMesh placed on the walkable areas and stop at the traffic lights when crossing the streets. Weather effects, time-of-day, and rain distortion lens shader bring the environment more close to the reality. The whole system is built on top of free and self-made assets, making it easy to use, configure, and extend. The performance of the simulator exceeds 60 frames per second when run on NVIDIA RTX 2070 with Intel Xeon E5-2620 or equivalent hardware.
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用于实时360度交通成像的开源CiThruS仿真环境
本文提出了一个360度交通成像的开源仿真环境。环境是建立在公开可用的AirSim Windridge城市资产。在这个作品中,城市里挤满了定制的自动驾驶汽车和行人。车辆沿着设计的节点地图导航,该节点地图可以根据指定的交通规则手动放置在道路上。这些车辆还可以检测其他车辆、行人和交通灯,以避免碰撞,使十字路口的交通更加顺畅。行人按照放置在可步行区域的导航网格,在过马路时在红绿灯处停下来。天气效果,时间的一天,和雨的变形镜头着色器使环境更接近现实。整个系统建立在免费和自制的资产之上,使其易于使用,配置和扩展。当在NVIDIA RTX 2070和Intel至强E5-2620或同等硬件上运行时,模拟器的性能超过每秒60帧。
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