Poster: A case for heterogenous co-simulation of cooperative and autonomous driving

被引：1
|
作者：
Hardes, Tobias [1 ,2 ,3 ]
Turcanu, Ion [4 ]
Sommer, Christoph [1 ]
机构：
[1] Tech Univ Dresden, Fac Comp Sci, Dresden, Germany
[2] Paderborn Univ, Dept Comp Sci, Paderborn, Germany
[3] Software Innovat Campus Paderborn, Paderborn, Germany
[4] LIST, Luxembourg, Luxembourg
来源：
2023 IEEE VEHICULAR NETWORKING CONFERENCE, VNC | 2023年
关键词：
D O I：
10.1109/VNC57357.2023.10136319
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Many exciting future research topics in the field of Cooperative Autonomous Vehicles (CAVs) require the simulation of both connectivity and automation components. However, existing simulation tools focus on only one of these two aspects while making idealistic assumptions about the other. In this work, we motivate the use of established libraries such as gRPC to couple existing independent simulation tools tailored to either connectivity or automation, and demonstrate the feasibility of such an approach. We also describe an Open Source reference implementation coupling CARLA and Veins.
引用
收藏
页码：151 / 152
页数：2
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