Advances in Radio Science
Advances in Radio Science
ARS
Articles | Volume 17
Articles | Volume 17
https://doi.org/10.5194/ars-17-189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ars-17-189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17
19 Sep 2019
 | 19 Sep 2019

Extending the vehicular network simulator Artery in order to generate synthetic data for collective perception

Christoph Allig and Gerd Wanielik

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Latest update: 21 Nov 2024
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Short summary
A fundamental for an automated driving car is the awareness of its surrounding road participants. Current approach to gather this awareness is to sense the environment by on-board sensors. In the future, Vehicle-to-X (V2X) might be able to improve the awareness. We propose to create synthetic data for investigating cooperative perception by a simulation tool. Therefore, Artery and its counterpart SUMO is extended by modelling realistic vehicle dynamics and probabilistic sensor models.
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