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  "language": "en",
            
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  "license_id": "other-open",
            
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  "license_title": "Andere (Offen)",
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  "license_title": "Other (Open)",
            
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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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  "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 
            
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(A2D2) to support startups and academic researchers working on 
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Dataset](https://www.a2d2.audi) (A2D2) to support startups and 
            
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autonomous driving. Equipping a vehicle with a multimodal sensor 
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academic researchers working on autonomous driving. Equipping a 
            
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suite, recording a large dataset, and labelling it, is time and labour 
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vehicle with a multimodal sensor suite, recording a large dataset, and 
            
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intensive. Our dataset removes this high entry barrier and frees 
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labelling it, is time and labour intensive. Our dataset removes this 
            
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researchers and developers to focus on developing new technologies 
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high entry barrier and frees researchers and developers to focus on 
            
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instead. The dataset features 2D semantic segmentation, 3D point 
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developing new technologies instead. The dataset features 2D semantic 
            
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clouds, 3D bounding boxes, and vehicle bus data.\r\n\r\n<img 
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segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus 
            
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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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