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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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generic, as ROS is a widely used robotics middleware. Moreover, ROS 
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generic, as ROS is a widely used robotics middleware. Moreover, ROS 
            
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offers a variety of software libraries and tools that can be employed 
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offers a variety of software libraries and tools that can be employed 
            
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directly.\r\n\r\nWithin the [SAVeNoW research 
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directly.\r\n\r\nWithin the [SAVeNoW research 
            
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project](https://savenow.de), the  *A2D2 ROS Preparer*  is used for 
63
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. ",
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the vehicle dataset. ",
            
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