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  "license_title": "Apache License 2.0",
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  "metadata_created": "2023-07-13T11:12:49.042538",
            
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  "metadata_modified": "2023-11-06T05:13:11.344592",
            
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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* converts the [Audi Autonomous 
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  "notes": "The *A2D2 ROS Preparer* converts the [Audi Autonomous 
            
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Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a ROS 
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Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a 
            
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bag. The [sensor 
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[Robot Operating 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 A2D2 \r\n\r\n enabling the 
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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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generic, as ROS is a widely used robotics middleware.\r\n\r\n enabling 
            
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usage of ROS tools on this dataset.",
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the usage of ROS tools on this dataset.",
            
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    "approval_status": "approved",
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    {
            
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      "display_name": "ROS",
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      "display_name": "ROS",
            
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      "id": "9d7230eb-0048-4ef4-8169-5fa014218e36",
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      "id": "9d7230eb-0048-4ef4-8169-5fa014218e36",
            
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      "name": "ROS",
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      "name": "ROS",
            
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      "display_name": "sensor data",
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      "display_name": "sensor data",
            
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      "id": "16ac3129-190f-45a6-a08c-6ef763a0353d",
            
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      "name": "sensor data",
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      "name": "sensor data",
            
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  "title": "A2D2 ROS Preparer",
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  "title": "A2D2 ROS Preparer",
            
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  "version": ""
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}
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}