Änderungen
Auf 18. Juli 2023 um 13:25:47 UTC,
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Beschreibung von Audi Autonomous Driving Dataset (A2D2) wurde von
We have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. Equipping a vehicle with a multimodal sensor suite, recording a large dataset, and labelling it, is time and labour intensive. Our dataset removes this high entry barrier and frees researchers and developers to focus on developing new technologies instead. The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data.
inWe have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. Equipping a vehicle with a multimodal sensor suite, recording a large dataset, and labelling it, is time and labour intensive. Our dataset removes this high entry barrier and frees researchers and developers to focus on developing new technologies instead. The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data. <img src="https://www.a2d2.audi/content/dam/a2d2/dataset/1920x1080-desktop-aev-anja1.jpg?imwidth=749&imdensity=1" alt="B3" width="800px">
geändert
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44 | "maintainer": "[{\"Maintainer Email\": \"jakob.geyer@audi.de\", | 44 | "maintainer": "[{\"Maintainer Email\": \"jakob.geyer@audi.de\", | ||
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49 | "name": "audi-autonomous-driving-dataset-a2d2", | 49 | "name": "audi-autonomous-driving-dataset-a2d2", | ||
50 | "notes": "We have published the Audi Autonomous Driving Dataset | 50 | "notes": "We have published the Audi Autonomous Driving Dataset | ||
51 | (A2D2) to support startups and academic researchers working on | 51 | (A2D2) to support startups and academic researchers working on | ||
52 | autonomous driving. Equipping a vehicle with a multimodal sensor | 52 | autonomous driving. Equipping a vehicle with a multimodal sensor | ||
53 | 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 | ||
54 | intensive. Our dataset removes this high entry barrier and frees | 54 | intensive. Our dataset removes this high entry barrier and frees | ||
55 | researchers and developers to focus on developing new technologies | 55 | researchers and developers to focus on developing new technologies | ||
56 | instead. The dataset features 2D semantic segmentation, 3D point | 56 | instead. The dataset features 2D semantic segmentation, 3D point | ||
t | 57 | clouds, 3D bounding boxes, and vehicle bus data.", | t | 57 | clouds, 3D bounding boxes, and vehicle bus data.\r\n\r\n<img |
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67 | "name": "audi-ag", | 69 | "name": "audi-ag", | ||
68 | "state": "active", | 70 | "state": "active", | ||
69 | "title": "AUDI AG", | 71 | "title": "AUDI AG", | ||
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