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Update Abstract in README and add rasn to Notice #35

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Aug 13, 2024
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7 changes: 6 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -227,7 +227,7 @@ The *etsi_its_messages* package stack was created and used in order to record th
> [Guido Küppers](https://github.com/gkueppers), [Jean-Pierre Busch](https://github.com/jpbusch) and [Lennart Reiher](https://github.com/lreiher), [Lutz Eckstein](https://www.ika.rwth-aachen.de/en/institute/team/univ-prof-dr-ing-lutz-eckstein.html)
> [Institute for Automotive Engineering (ika), RWTH Aachen University](https://www.ika.rwth-aachen.de/en/)
>
> <sup>*Abstract* – Connectivity is a main driver for the ongoing megatrend of automated mobility: future Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals, roadside infrastructure, and even vulnerable road users, sharing data and compute for safer, more efficient, and more comfortable mobility. In terms of communication technology for realizing such vehicle-to-everything (V2X) communication, the WLAN-based peer-to-peer approach (IEEE 802.11p, ITS-G5 in Europe) competes with C-V2X based on cellular technologies (4G and beyond). Irrespective of the underlying communication standard, common message interfaces are crucial for a common understanding between vehicles, especially from different manufacturers. Targeting this issue, the European Telecommunications Standards Institute (ETSI) has been standardizing V2X message formats such as the Cooperative Awareness Message (CAM). In this work, we present V2AIX, a multi-modal real-world dataset of ETSI ITS messages gathered in public road traffic, the first of its kind. Collected in measurement drives and with stationary infrastructure, we have recorded more than 230 000 V2X messages from more than 1800 vehicles and roadside units in public road traffic. Alongside a first analysis of the dataset, we present a way of integrating ETSI ITS V2X messages into the Robot Operating System (ROS). This enables researchers to not only thoroughly analyze real-world V2X data, but to also study and implement standardized V2X messages in ROS-based automated driving applications. The full dataset is publicly available for noncommercial use at https://v2aix.ika.rwth-aachen.de.</sup>
> <sup>*Abstract* – Connectivity is a main driver for the ongoing megatrend of automated mobility: future Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals, roadside infrastructure, and even vulnerable road users, sharing data and compute for safer, more efficient, and more comfortable mobility. In terms of communication technology for realizing such vehicle-to-everything (V2X) communication, the WLAN-based peer-to-peer approach (IEEE 802.11p, ITS-G5 in Europe) competes with C-V2X based on cellular technologies (4G and beyond). Irrespective of the underlying communication standard, common message interfaces are crucial for a common understanding between vehicles, especially from different manufacturers. Targeting this issue, the European Telecommunications Standards Institute (ETSI) has been standardizing V2X message formats such as the Cooperative Awareness Message (CAM). In this work, we present V2AIX, a multi-modal real-world dataset of ETSI ITS messages gathered in public road traffic, the first of its kind. Collected in measurement drives and with stationary infrastructure, we have recorded more than 285 000 V2X messages from more than 2380 vehicles and roadside units in public road traffic. Alongside a first analysis of the dataset, we present a way of integrating ETSI ITS V2X messages into the Robot Operating System (ROS). This enables researchers to not only thoroughly analyze real-world V2X data, but to also study and implement standardized V2X messages in ROS-based automated driving applications. The full dataset is publicly available for non-commercial use at https://v2aix.ika.rwth-aachen.de.</sup>



Expand Down Expand Up @@ -265,6 +265,11 @@ This repository uses the following software. For full license details, please re
MIT License
Copyright (c) 2008-2023, Charles Karney
```
- [rasn](https://github.com/librasn/rasn)
```
MIT License
Copyright (c) 2016 Erin Power
```
- [ROS](https://www.ros.org/)
```
BSD 3-Clause License
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