hardes2023cosimulation
Tobias Hardes, Ion Turcanu and Christoph Sommer, "Poster: A Case for Heterogenous Co-Simulation of Cooperative and Autonomous Driving," Proceedings of 14th IEEE Vehicular Networking Conference (VNC 2023), Istanbul, Turkey, April 2023.
Abstract
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.
Quick access
- Original Version
(at publishers web site) - Authors' Version
(PDF on this web site) - BibTeX
Contact
- Tobias Hardes
- Ion Turcanu
- Christoph Sommer
BibTeX reference
@inproceedings{hardes2023cosimulation,
author = {Hardes, Tobias and Turcanu, Ion and Sommer, Christoph},
title = {{Poster: A Case for Heterogenous Co-Simulation of Cooperative and Autonomous Driving}},
booktitle = {14th IEEE Vehicular Networking Conference (VNC 2023)},
address = {Istanbul, Turkey},
doi = {10.1109/VNC57357.2023.10136319},
month = {April},
publisher = {IEEE},
year = {2023},
}
Copyright notice
Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.
The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
The following applies to all papers listed above that are in submission to IEEE conference/workshop proceeedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.
The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.