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\"benedikt.schwab@tum.de\"}]",
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\"benedikt.schwab@tum.de\"}]",
            
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      "title": "Datensatz und Dokumente"
            
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      "name": "information-technology",
            
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      "title": "Informations-Technologie"
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      "title": "Informations-Technologie"
            
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      "name": "mobility",
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      "name": "mobility",
            
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      "title": "Mobilit\u00e4t"
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      "title": "Mobilit\u00e4t"
            
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  "id": "b0f80bc2-4c3f-46e6-8863-9b9d86d397fa",
            
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  "isopen": true,
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  "isopen": true,
            
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  "language": "en",
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  "language": "en",
            
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    "licence_agreement_check"
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    "licence_agreement_check"
            
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  ],
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  ],
            
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  "license_id": "other-open",
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  "license_id": "other-open",
            
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  "license_title": "Andere (Offen)",
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  "license_title": "Andere (Offen)",
            
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  "maintainer": "[{\"Maintainer Email\": \"jakob.geyer@audi.de\", 
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  "maintainer": "[{\"Maintainer Email\": \"jakob.geyer@audi.de\", 
            
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\"maintainer\": \"Jakob Geyer\", \"phone\": \"\", \"role\": \"\"}]",
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\"maintainer\": \"Jakob Geyer\", \"phone\": \"\", \"role\": \"\"}]",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-07-13T11:00:33.632666",
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  "metadata_created": "2023-07-13T11:00:33.632666",
            
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  "metadata_modified": "2023-07-18T13:28:35.389384",
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  "metadata_modified": "2023-07-18T13:28:39.793117",
            
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  "name": "audi-autonomous-driving-dataset-a2d2",
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  "name": "audi-autonomous-driving-dataset-a2d2",
            
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  "notes": "We have published the Audi Autonomous Driving Dataset 
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  "notes": "We have published the Audi Autonomous Driving Dataset 
            
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(A2D2) to support startups and academic researchers working on 
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(A2D2) to support startups and academic researchers working on 
            
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autonomous driving. Equipping a vehicle with a multimodal sensor 
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autonomous driving. Equipping a vehicle with a multimodal sensor 
            
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suite, recording a large dataset, and labelling it, is time and labour 
53
suite, recording a large dataset, and labelling it, is time and labour 
            
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intensive. Our dataset removes this high entry barrier and frees 
54
intensive. Our dataset removes this high entry barrier and frees 
            
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researchers and developers to focus on developing new technologies 
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researchers and developers to focus on developing new technologies 
            
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instead. The dataset features 2D semantic segmentation, 3D point 
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instead. The dataset features 2D semantic segmentation, 3D point 
            
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clouds, 3D bounding boxes, and vehicle bus data.\r\n\r\n<img 
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clouds, 3D bounding boxes, and vehicle bus data.\r\n\r\n<img 
            
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a2d2/dataset/1920x1080-desktop-aev-anja1.jpg?imwidth=749&imdensity=1\" 
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a2d2/dataset/1920x1080-desktop-aev-anja1.jpg?imwidth=749&imdensity=1\" 
            
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alt=\"B3\" width=\"800px\">\r\n\r\n",
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alt=\"B3\" width=\"800px\">\r\n\r\n",
            
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-06-27T13:56:11.772891",
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    "created": "2023-06-27T13:56:11.772891",
            
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    "description": "",
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      "name": "Driving Dataset General Informations",
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  "title": "Audi Autonomous Driving Dataset (A2D2)",
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}