@inproceedings{128b74ba910747fb849a11d9cfde9061,
title = "Demo: CiThruS Traffic Scene Simulator",
abstract = "This paper describes the main features of our open-source CiThruS simulation environment and a demonstration setup for it. This lightweight simulator is designed for 360-degree traffic imaging at arbitrary positions in the city. It is built with Unity using the open Windridge City Asset, which we populated with autonomous vehicles and pedestrians. The vehicles navigate the city by following predetermined and user-customizable nodes on the map. They can also detect other vehicles, pedestrians, and traffic lights for simple collision avoidance and a smoother traffic flow. The pedestrians walk on the sidewalks and stop at the traffic lights when crossing streets. Weather, time-of-day, and lens effects bring the environment closer to the reality. In the demonstration, the simulation is controlled with an Xbox controller and run in real time on a consumer-grade laptop equipped with an Intel Core i7 4-core CPU and Nvidia GTX 1060 GPU.",
author = "Teo Niemirepo and Juuso Toivonen and Mikko Pitkanen and Marko Viitanen and Jarno Vanne",
year = "2019",
doi = "10.1109/VNC48660.2019.9062780",
language = "English",
isbn = "978-1-7281-4572-3",
series = "IEEE Vehicular Networking Conference",
publisher = "IEEE",
booktitle = "2019 IEEE Vehicular Networking Conference (VNC)",
note = "IEEE Vehicular Networking Conference ; Conference date: 01-01-1900",
}