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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Holger Caesar",
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  "author": "Holger Caesar",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2105.00195",
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    "https://doi.org/10.48550/arXiv.2306.00612"
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    "https://doi.org/10.48550/arXiv.2402.04046"
            
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  ],
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  ],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2304.14811",
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  "defined_in": "https://doi.org/10.48550/arXiv.2310.17281",
            
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  "doi": "10.57702/q1a3zotj",
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  "doi": "10.57702/q1a3zotj",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Varun Bankiti",
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      "extra_author": "Varun Bankiti",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Alex H Lang",
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      "extra_author": "Alex H Lang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sourabh Vora",
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      "extra_author": "Sourabh Vora",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Venice Erin Liong",
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      "extra_author": "Venice Erin Liong",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Qiang Xu",
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      "extra_author": "Qiang Xu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Anush Krishnan",
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      "extra_author": "Anush Krishnan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yu Pan",
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      "extra_author": "Yu Pan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Giancarlo Baldan",
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      "extra_author": "Giancarlo Baldan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Oscar Beijbom",
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      "extra_author": "Oscar Beijbom",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Autonomous driving",
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      "name": "autonomous-driving",
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      "name": "autonomous-driving",
            
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      "title": "Autonomous driving"
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      "title": "LiDAR Point Clouds"
            
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      "name": "multimodal-data",
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      "name": "multimodal-data",
            
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      "title": "Multimodal Data"
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      "name": "multimodal-dataset",

            
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      "title": "Multimodal Dataset"

            
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      "description": "",

            
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      "name": "point-clouds",

            
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      "title": "Point Clouds"

            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://nuscenes.io/",
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  "landing_page": "https://github.com/nuScenes/nuScenes",
            
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  "license_title": null,
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  "metadata_created": "2024-12-02T22:05:45.799848",
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  "metadata_modified": "2024-12-03T10:02:16.859934",
            
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  "name": "nuscenes--a-multimodal-dataset-for-autonomous-driving",
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  "name": "nuscenes--a-multimodal-dataset-for-autonomous-driving",
            
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  "notes": "The nuScenes dataset is a large-scale dataset for 
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  "notes": "nuScenes: A multimodal dataset for autonomous driving.",
            
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autonomous driving, containing 28130 training samples and 6019 

            
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validation samples.",

            
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      "description": "The json representation of the dataset with its 

            
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      "format": "JSON",

            
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      "id": "a3dadec5-51c7-4aa3-93f3-9c0c39c101ad",

            
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    {
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      "display_name": "Multimodal Data",
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      "name": "Multimodal Data",
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      "name": "Multimodal Data",
            
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      "state": "active",
            
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      "vocabulary_id": null
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    },
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    {
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    {
            
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      "display_name": "Multimodal Dataset",
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      "display_name": "Trajectory Prediction",
            
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      "id": "9f9762b6-4a47-49b5-8044-262d8e8d75f4",
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      "id": "23671fe2-be35-42f6-a74b-979f53b24b4b",
            
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      "name": "Multimodal Dataset",
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      "name": "Trajectory Prediction",
            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "Point Clouds",

            
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      "id": "cd5e5c68-6deb-4e83-b810-0756f3961446",

            
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      "name": "Point Clouds",

            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "nuscenes",

            
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      "id": "b1a222ef-7263-439f-a69e-1e4268d451bc",

            
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      "name": "nuscenes",

            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "nuscenes: A multimodal dataset for autonomous driving",
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  "title": "nuScenes: A multimodal dataset for autonomous driving",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}