OpenPerceptionX/OpenLane
[ECCV 2022 oral] OpenLane: Large-scale Realistic 3D Lane Dataset. Redirect to https://github.com/OpenDriveLab/OpenLane.
OpenLane provides a comprehensive collection of 3D lane data, including images, camera parameters, and detailed annotations, to help autonomous vehicle engineers and researchers develop and test robust self-driving systems. It offers realistic driving scenarios and precise lane markings, enabling the creation of advanced lane detection and prediction models. This dataset is primarily used by engineers and researchers working on perception systems for self-driving cars.
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Use this if you are developing or evaluating 3D lane detection algorithms for autonomous vehicles and need a large, realistic dataset with detailed annotations.
Not ideal if you are looking for datasets focused on other autonomous driving tasks like object detection or trajectory planning, or if you only need 2D lane data.
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Feb 07, 2023
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