Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning-Reference-Cited by-同舟云学术

Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning

Published:2021-11-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
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Author:

Häfner Bernhard¹,Jiru Josef²,Schepker Henning²,Schmitt Georg Albrecht³,Ott Jörg⁴

Affiliation:

1. Technical University of Munich & BMW Group, Munich, Germany

2. Fraunhofer IKS, Munich, Germany

3. BMW Group, Munich, Germany

4. Technical University of Munich, Munich, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3479239.3485726

Reference18 articles.

1. 2021. ezCar2x: Streamlined Development of Networked Vehicle Applications. https://www.ezcar2x.fraunhofer.de/en.html 2021. ezCar2x: Streamlined Development of Networked Vehicle Applications. https://www.ezcar2x.fraunhofer.de/en.html

2. 2021. ns-3 a Discrete-Event Network Simulator for Internet Systems. https://www.nsnam.org 2021. ns-3 a Discrete-Event Network Simulator for Internet Systems. https://www.nsnam.org

3. CommonRoad: Composable benchmarks for motion planning on roads

4. Aashik Chandramohan Mannes Poel Bernd Meijerink and Geert Heijenk. 2019. Machine Learning for Cooperative Driving in a Multi-Lane Highway Environment. In IFIP Wireless Days. 1--4. https://doi.org/10.1109/WD.2019.8734192 Aashik Chandramohan Mannes Poel Bernd Meijerink and Geert Heijenk. 2019. Machine Learning for Cooperative Driving in a Multi-Lane Highway Environment. In IFIP Wireless Days. 1--4. https://doi.org/10.1109/WD.2019.8734192

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