| pretty_name: Vigil Autonomy Public Trajectory Dataset | |
| license: cc-by-4.0 | |
| tags: | |
| - computer-vision | |
| - robotics | |
| - sensor-fusion | |
| - tracking | |
| - uav | |
| - video | |
| # Vigil Autonomy Public Trajectory Dataset | |
| Real airborne-target data for tracking, sensor fusion, and autonomy. | |
| This release includes ten complete trajectories: ten video streams paired with frame timing, position, and orientation data. Use it to develop, test, and benchmark systems against real motion and real imagery. | |
|  | |
| Additional field collections are available from [Vigil Autonomy Data](https://vigilautonomy.com/data). | |
| ## Integrity | |
| Each trajectory includes a manifest with artifact byte sizes and SHA-256 checksums. At publication, all ten trajectory roots and 40 manifest-declared artifacts matched their manifests. | |
| ## License and Attribution | |
| Copyright 2026 Matthew Goodman. This dataset is licensed under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Any use, adaptation, or redistribution must give appropriate credit to Matthew Goodman, provide a link to the license, and indicate whether changes were made. The citation below is the preferred form of attribution for publications and other works that support formal citations. | |
| ## Citation | |
| ```bibtex | |
| @dataset{goodman_2026_vigil_autonomy_public_trajectory_dataset, | |
| author = {Goodman, Matthew}, | |
| title = {Vigil Autonomy Public Trajectory Dataset}, | |
| year = {2026}, | |
| publisher = {Vigil Autonomy}, | |
| url = {https://huggingface.co/datasets/vigilautonomy/vigil-public-data} | |
| } | |
| ``` | |