OpenDriveLab/OpenLane
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
This dataset provides a rich collection of real-world driving scenarios to help train and evaluate autonomous driving systems. It takes raw perception data from public datasets like Waymo and adds detailed annotations for 3D lanes and important objects in the vehicle's path. Engineers and researchers developing self-driving car technology can use this to improve how vehicles detect and understand road markings and critical obstacles.
570 stars. No commits in the last 6 months.
Use this if you are developing or testing algorithms for 3D lane detection or critical object identification in autonomous vehicles.
Not ideal if your project focuses solely on 2D image analysis without a need for 3D spatial understanding.
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570
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C++
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Apache-2.0
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Jul 02, 2025
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