Hj-Lee/The-DRIFT
The DRIFT Open Dataset DRIFT (Drone-derived Intelligence for Traffic analysis) is a large-scale open dataset of urban vehicle trajectories captured by drone at 250 m altitude across 9 interconnected intersections in Daejeon, South Korea. Code & Pipeline: github.com/AIxMobility/The-DRIFTPaper: arXiv:2504.11019 Dataset at a Glance Trajectories 81,699 annotated vehicle trajectories Coverage 2.6 km of continuous urban roadway (9 intersections)… See the full description on the dataset page: https://huggingface.co/datasets/Hj-Lee/The-DRIFT.
| Author / organization | Hj-Lee |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 10 |
| Created | 1 April 2025 |
| Last updated at source | 6 March 2026 |
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Recent changes
- 16 Oct 2026 Description: The DRIFT Open Dataset DRIFT (Drone-derived Intelligence for Traffic analysis) is a large-scale open dataset of urban vehicle trajectories captured by drone at 250 m altitude across 9 interconnected intersections in Daejeon, South Korea. Co → The DRIFT Open Dataset DRIFT (Drone-derived Intelligence for Traffic analysis) is a large-scale open dataset of urban vehicle trajectories captured by drone at 250 m altitude across 9 interconnected intersections in Daejeon, South Korea. Co
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