UCF-SST-Lab/UCF-SST-CitySim1-Dataset
A drone-based vehicle trajectory dataset for safety-oriented autonomous driving research.
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The CitySim Dataset provides 1140 minutes of vehicle trajectory data extracted from drone videos recorded at 12 locations. Trajectories are generated through a five-step procedure ensuring high accuracy and include rotated bounding boxes to improve safety evaluation. The dataset covers diverse road geometries and facilitates research in autonomous vehicle safety, digital twin applications, and traffic analysis.
Frequently asked
- What is UCF-SST-Lab/UCF-SST-CitySim1-Dataset?
- A drone-based vehicle trajectory dataset for safety-oriented autonomous driving research.
- Is UCF-SST-CitySim1-Dataset open source?
- Yes — UCF-SST-Lab/UCF-SST-CitySim1-Dataset is open source, released under the Apache-2.0 license.
- What language is UCF-SST-CitySim1-Dataset written in?
- UCF-SST-Lab/UCF-SST-CitySim1-Dataset is primarily written in Python.
- How popular is UCF-SST-CitySim1-Dataset?
- UCF-SST-Lab/UCF-SST-CitySim1-Dataset has 422 stars on GitHub.
- Where can I find UCF-SST-CitySim1-Dataset?
- UCF-SST-Lab/UCF-SST-CitySim1-Dataset is on GitHub at https://github.com/UCF-SST-Lab/UCF-SST-CitySim1-Dataset.