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Auf 6. November 2023 um 05:29:46 UTC, Gravatar Benedikt Schwab:
  • Beschreibung von A2D2 ROS Preparer wurde von

    The *A2D2 ROS Preparer* is a software tool that converts the [Audi Autonomous Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating System](https://www.ros.org/) (ROS) bag. The [sensor setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 vehicle includes five LiDARs, six cameras, bus signals and is structured in a dataset-specific form. The preparation for ROS enables the development of subsequent processes and algorithms to be more generic, as ROS is a widely used robotics middleware. Moreover, ROS offers a variety of software libraries and tools that can be employed directly. Within the [SAVeNoW research project](https://savenow.de), the *A2D2 ROS Preparer* is used for executing a simultaneous localization and mapping (SLAM) algorithm on the vehicle dataset.
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    The *A2D2 ROS Preparer* is a software tool that converts the [Audi Autonomous Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating System](https://www.ros.org/) (ROS) bag. The [sensor setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 vehicle includes five LiDARs, six cameras, bus signals and is structured in a dataset-specific form. The preparation for ROS enables the development of subsequent processes and algorithms to be more universally applicable, as ROS is a widely used robotics middleware. Moreover, ROS offers a variety of software libraries and tools that can be employed directly. Within the [SAVeNoW research project](https://savenow.de), the *A2D2 ROS Preparer* is used for executing a simultaneous localization and mapping (SLAM) algorithm on the vehicle dataset.
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