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  "name": "a2d2-ros-preparer",
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  "name": "a2d2-ros-preparer",
            
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  "notes": "The *A2D2 ROS Preparer* is a software tool that converts 
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  "notes": "The *A2D2 ROS Preparer* is a software tool that converts 
            
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the [Audi Autonomous Driving Dataset 
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the [Audi Autonomous Driving Dataset 
            
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(A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating 
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(A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating 
            
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System](https://www.ros.org/) (ROS) bag. The [sensor 
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System](https://www.ros.org/) (ROS) bag. The [sensor 
            
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setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 
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setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 
            
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vehicle includes five LiDARs, six cameras, bus signals and is 
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vehicle includes five LiDARs, six cameras, bus signals and is 
            
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structured in a dataset-specific form. The preparation for ROS enables 
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structured in a dataset-specific form. The preparation for ROS enables 
            
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the development of subsequent processes and algorithms to be more 
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the development of subsequent processes and algorithms to be more 
            
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universally applicable, as ROS is a widely used robotics middleware. 
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universally applicable, as ROS is a widely used robotics middleware. 
            
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Moreover, ROS offers a variety of software libraries and tools that 
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Moreover, ROS offers a variety of software libraries and tools that 
            
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can be employed directly.\r\nThe following video shows the ROS 
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can be employed directly.\r\nThe following video shows the ROS 
            
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visualization tool [rViz](https://wiki.ros.org/rviz):\r\n<iframe 
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visualization tool [rViz](https://wiki.ros.org/rviz):\r\n<iframe 
            
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width=\"560\" height=\"315\" 
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width=\"560\" height=\"315\" 
            
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src=\"https://www.youtube.com/embed/uoTmNCU2IDM?si=jjHjjn0jjpKjo29k\" 
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src=\"https://www.youtube.com/embed/uoTmNCU2IDM?si=jjHjjn0jjpKjo29k\" 
            
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title=\"YouTube video player\" frameborder=\"0\" 
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title=\"YouTube video player\" frameborder=\"0\" 
            
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allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; 
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allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; 
            
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gyroscope; picture-in-picture; web-share\" 
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gyroscope; picture-in-picture; web-share\" 
            
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allowfullscreen></iframe>\r\n\r\nWithin the [SAVeNoW research 
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allowfullscreen></iframe>\r\n\r\nWithin the [SAVeNoW research 
            
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project](https://savenow.de), the  *A2D2 ROS Preparer*  is used for 
70
project](https://savenow.de), the  *A2D2 ROS Preparer*  is used for 
            
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executing a simultaneous localization and mapping (SLAM) algorithm on 
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executing a simultaneous localization and mapping (SLAM) algorithm on 
            
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the vehicle dataset. A detailed documentation page is provided 
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the vehicle dataset. A detailed documentation page is provided 
            
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[here](https://a2d2-ros-preparer.readthedocs.io/).\r\n",
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[here](https://a2d2-ros-preparer.readthedocs.io/).\r\n",
            
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