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  "doi": "10.57702/nheyh5sb",
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  "doi": "10.57702/nheyh5sb",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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    {
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    {
            
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      "extra_author": "Xinjing Cheng",
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    },
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    {
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    {
            
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      "extra_author": "Qichuan Geng",
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      "description": "",
            
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      "orcid": ""
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      "display_name": "Lane Detection",
            
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    {
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      "image_display_url": "",
            
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      "extra_author": "Binbin Cao",
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      "name": "lane-detection",
            
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      "orcid": ""
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      "title": "Lane Detection"
            
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    },

            
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    {

            
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      "extra_author": "Dingfu Zhou",

            
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      "orcid": ""

            
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    },

            
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    {

            
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      "extra_author": "Peng Wang",

            
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      "extra_author": "Yuanqing Lin",

            
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      "orcid": ""

            
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    },

            
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      "extra_author": "Ruigang Yang",

            
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      "orcid": ""

            
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  "name": "tusimple-lane-detection-benchmark",
            
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  "notes": "The TuSimple Benchmark is a dedicated dataset for lane 
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  "notes": "The TuSimple dataset contains 6408 annotated 
            
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detection and consists of 3626 training and 2782 testing images. The 
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high-resolution (1280 \u00d7 720) images taken from video footage, 
            
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annotation includes the x-position of the lane points at a number of 
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each containing 2 to 4 lanes with clear markings.",
            
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