OpenDriveLab/OpenLane

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

45
/ 100
Emerging

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.

autonomous-driving 3d-perception lane-detection object-detection robotics
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

570

Forks

52

Language

C++

License

Apache-2.0

Last pushed

Jul 02, 2025

Commits (30d)

0

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