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  "access_rights": "",
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  "author": "Martin Simon",
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  "author": "Martin Simon",
            
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2308.11875",
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  "defined_in": "https://doi.org/10.48550/arXiv.2308.11875",
            
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  "doi": "10.57702/bybbut2y",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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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": "Stefan Milz",
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      "extra_author": "Stefan Milz",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Karl Amende",
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      "extra_author": "Karl Amende",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Horst-Michael Gross",
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      "extra_author": "Horst-Michael Gross",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "description": "",
            
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      "name": "3d-object-detection",
            
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      "title": "3D Object Detection"
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      "title": "3D Object Detection"
            
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      "name": "autonomous-driving",
            
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      "title": "Autonomous driving"
            
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  "name": "kitti-benchmark-suite",
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  "name": "kitti-benchmark-suite",
            
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  "notes": "The KITTI benchmark suite is a large-scale dataset for 3D 
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  "notes": "The KITTI benchmark suite is a large-scale dataset for 3D 
            
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object detection, consisting of 7,481 training samples and 7,518 test 
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object detection, consisting of 7,481 training samples and 7,518 test 
            
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samples.",
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}